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Mean time between failures

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the failure of the whole system, so (assuming that failure probabilities are small, which is usually the case) probability of the failure of the whole system within a given interval can be approximated as a sum of failure probabilities of the components. With parallel components the situation is a bit more complicated: the whole system will fail if and only if after one of the components fails, the other component fails while the first component is being repaired; this is where MDT comes into play: the faster the first component is repaired, the less is the "vulnerability window" for the other component to fail.
1690:{\displaystyle {\begin{aligned}{\text{mtbf}}(c_{1}\parallel c_{2})&={\frac {1}{{\frac {1}{{\text{mtbf}}(c_{1})}}\times {\text{PF}}(c_{2},{\text{mdt}}(c_{1}))+{\frac {1}{{\text{mtbf}}(c_{2})}}\times {\text{PF}}(c_{1},{\text{mdt}}(c_{2}))}}\\&={\frac {1}{{\frac {1}{{\text{mtbf}}(c_{1})}}\times {\frac {{\text{mdt}}(c_{1})}{{\text{mtbf}}(c_{2})}}+{\frac {1}{{\text{mtbf}}(c_{2})}}\times {\frac {{\text{mdt}}(c_{2})}{{\text{mtbf}}(c_{1})}}}}\\&={\frac {{\text{mtbf}}(c_{1})\times {\text{mtbf}}(c_{2})}{{\text{mdt}}(c_{1})+{\text{mdt}}(c_{2})}}\;,\end{aligned}}} 778:= MTBF. This inaccuracy can lead to bad design decisions. Furthermore, probabilistic failure prediction based on MTBF implies the total absence of systematic failures (i.e., a constant failure rate with only intrinsic, random failures), which is not easy to verify. Assuming no systematic errors, the probability the system survives during a duration, T, is calculated as exp^(-T/MTBF). Hence the probability a system fails during a duration T, is given by 1 - exp^(-T/MTBF). 82: 1112: 813:(KPI) within TPM, guiding decisions on maintenance schedules, spare parts inventory, and ultimately, optimizing the lifespan and efficiency of machinery. This strategic use of MTBF within TPM frameworks enhances overall production efficiency, reduces costs associated with breakdowns, and contributes to the continuous improvement of manufacturing processes. 789:(MDT). MDT can be defined as mean time which the system is down after the failure. Usually, MDT is considered different from MTTR (Mean Time To Repair); in particular, MDT usually includes organizational and logistical factors (such as business days or waiting for components to arrive) while MTTR is usually understood as more narrow and more technical. 2029: 2633: 69:
Mean time between failures (MTBF) describes the expected time between two failures for a repairable system. For example, three identical systems starting to function properly at time 0 are working until all of them fail. The first system fails after 100 hours, the second after 120 hours and the third
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systems, failures are considered to be those out of design conditions which place the system out of service and into a state for repair. Failures which occur that can be left or maintained in an unrepaired condition, and do not place the system out of service, are not considered failures under this
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In fact the MTBF counting only failures with at least some systems still operating that have not yet failed underestimates the MTBF by failing to include in the computations the partial lifetimes of the systems that have not yet failed. With such lifetimes, all we know is that the time to failure
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Intuitively, both these formulae can be explained from the point of view of failure probabilities. First of all, let's note that the probability of a system failing within a certain timeframe is the inverse of its MTBF. Then, when considering series of components, failure of any component leads to
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Through successive application of these four formulae, the MTBF and MDT of any network of repairable components can be computed, provided that the MTBF and MDT is known for each component. In a special but all-important case of several serial components, MTBF calculation can be easily generalised
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For the network containing parallel repairable components, to find out the MTBF of the whole system, in addition to component MTBFs, it is also necessary to know their respective MDTs. Then, assuming that MDTs are negligible compared to MTBFs (which usually stands in practice), the MTBF for the
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By integrating MTBF with TPM principles, manufacturers can achieve a more proactive maintenance approach. This synergy allows for the identification of patterns and potential failures before they occur, enabling preventive maintenance and reducing unplanned downtime. As a result, MTBF becomes a
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MTBF value prediction is an important element in the development of products. Reliability engineers and design engineers often use reliability software to calculate a product's MTBF according to various methods and standards (MIL-HDBK-217F, Telcordia SR332, Siemens SN 29500, FIDES, UTE 80-810
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The MTBF value can be used as a system reliability parameter or to compare different systems or designs. This value should only be understood conditionally as the “mean lifetime” (an average value), and not as a quantitative identity between working and failed units.
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For each observation, the "down time" is the instantaneous time it went down, which is after (i.e. greater than) the moment it went up, the "up time". The difference ("down time" minus "up time") is the amount of time it was operating between these two events.
2499:(MTBUR). Such nomenclature is used when it is desirable to differentiate among types of failures, such as critical and non-critical failures. For example, in an automobile, the failure of the FM radio does not prevent the primary operation of the vehicle. 2518: 61:
definition. In addition, units that are taken down for routine scheduled maintenance or inventory control are not considered within the definition of failure. The higher the MTBF, the longer a system is likely to work before failing.
1107:{\displaystyle {\text{mtbf}}(c_{1};c_{2})={\frac {1}{{\frac {1}{{\text{mtbf}}(c_{1})}}+{\frac {1}{{\text{mtbf}}(c_{2})}}}}={\frac {{\text{mtbf}}(c_{1})\times {\text{mtbf}}(c_{2})}{{\text{mtbf}}(c_{1})+{\text{mtbf}}(c_{2})}}\;,} 538:") when only random failures are occurring. In other words, it is assumed that the system has survived initial setup stresses and has not yet approached its expected end of life, both of which often increase the failure rate. 3313:
Systems reliability assessment – Proceedings of the Ispra Course held at the Escuela Tecnica Superior de Ingenieros Navales, Madrid, Spain, September 19–23, 1988 in collaboration with Universidad Politecnica de
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causes the network to fail. The MTBF of the resulting two-component network with repairable components can be computed according to the following formulae, assuming that the MTBF of both individual components is known:
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We see that the difference between the MTBF considering only failures and the MTBF including censored observations is that the censoring times add to the numerator but not the denominator in computing the MTBF.
2769: 1171: 2344: 2523: 501: 97: 164: 805:. MTBF provides a quantitative measure of the time elapsed between failures of a system during normal operation, offering insights into the reliability and performance of manufacturing equipment. 661: 782:(RDF2000), etc.). The Mil-HDBK-217 reliability calculator manual in combination with RelCalc software (or other comparable tool) enables MTBF reliability rates to be predicted based on design. 3093: 2024:{\displaystyle {\text{mdt}}(c_{1};c_{2})={\frac {{\text{mtbf}}(c_{1})\times {\text{mdt}}(c_{2})+{\text{mtbf}}(c_{2})\times {\text{mdt}}(c_{1})}{{\text{mtbf}}(c_{1})+{\text{mtbf}}(c_{2})}}\;,} 2203: 2967: 732: 1737: 2506:(MTTF) instead of MTBF in cases where a system is replaced after a failure ("non-repairable system"), since MTBF denotes time between failures in a system which can be repaired. 3182: 3126: 2628:{\displaystyle {\begin{aligned}{\text{MTTF}}&\approx {\frac {B_{10}}{0.1n_{\text{onm}}}},\\{\text{MTTFd}}&\approx {\frac {B_{10d}}{0.1n_{\text{op}}}},\end{aligned}}} 871:. The terminology is here used by close analogy to electrical circuits, but has a slightly different meaning. We say that the two components are in series if the failure of 2832: 1155: 859: 3146: 3028: 2870: 603: 559: 439: 376: 1775: 530:
Any practically-relevant calculation of the MTBF assumes that the system is working within its "useful life period", which is characterized by a relatively constant
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By referring to the figure above, the MTBF of a component is the sum of the lengths of the operational periods divided by the number of observed failures:
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after 130 hours. The MTBF of the systems is the average of the three failure times, which is 116.667 hours. If the systems were non-repairable, then their
2186:{\displaystyle {\text{mdt}}(c_{1}\parallel c_{2})={\frac {{\text{mdt}}(c_{1})\times {\text{mdt}}(c_{2})}{{\text{mdt}}(c_{1})+{\text{mdt}}(c_{2})}}\;.} 256: 3504: 797:
MTBF serves as a crucial metric for managing machinery and equipment reliability. Its application is particularly significant in the context of
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is an extension of MTTF, and is only concerned about failures which would result in a dangerous condition. It can be calculated as follows:
2689: 2469:{\displaystyle {\text{mdt}}(c_{1}\parallel \dots \parallel c_{n})=\left(\sum _{k=1}^{n}{\frac {1}{{\text{mdt}}(c_{k})}}\right)^{-1}\;,} 3716: 3488: 3459:"Reliability Characteristics for Two Subsystems in Series or Parallel or n Subsystems in m_out_of_n Arrangement (by Don L. Lin)" 148:{\displaystyle {\text{MTBF}}={\frac {\sum {({\text{start of downtime}}-{\text{start of uptime}})}}{\text{number of failures}}}.} 447: 215:{\displaystyle {\text{MDT}}={\frac {\sum {({\text{start of uptime}}-{\text{start of downtime}})}}{\text{number of failures}}}.} 3592: 774:
Since MTBF can be expressed as “average life (expectancy)”, many engineers assume that 50% of items will have failed by time
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since the formula for the mdt of two components in parallel is identical to that of the mtbf for two components in series.
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In general, MTBF is the "up-time" between two failure states of a repairable system during operation as outlined here:
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is the number of operations that a device will operate prior to 10% of a sample of those devices would fail and
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A concept which is closely related to MTBF, and is important in the computations involving MTBF, is the
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of a mechanical or electronic system during normal system operation. MTBF can be calculated as the
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that any one particular system will be operational for a given duration can be inferred from the
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The definition of MTBF depends on the definition of what is considered a failure. For complex,
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parallel system consisting from two parallel repairable components can be written as follows:
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is the failure time for failures and the censoring time for units that have not yet failed,
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Using similar logic, MDT for a system out of two serial components can be calculated as:
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causes the failure of the network, and that they are in parallel if only the failure of
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Once the MTBF of a system is known, and assuming a constant failure rate, the
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Predicted elapsed time between inherent failures of a system during operation
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is the same calculation, but where 10% of the sample would fail to danger.
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and for a system out of two parallel components MDT can be calculated as:
801:(TPM), a comprehensive maintenance strategy aimed at maximizing equipment 3563:
Likelihood Construction, Inference for Parametric Survival Distributions
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is the network in which the components are arranged in parallel, and
3207: â€“ Frequency with which an engineered system or component fails 53:) denotes the expected time to failure for a non-repairable system. 17: 625:, it is given by the reciprocal of the failure rate of the system, 3770: 3739: 3734: 3730: 3725: 3721: 2509: 762:, or about 37% (i.e., it will fail earlier with probability 63%). 2764:{\displaystyle L=\prod _{i}\lambda (u_{i})^{\delta _{i}}S(u_{i})} 3780: 3765: 3760: 3711: 3680: 3639: 1157:
is the network in which the components are arranged in series.
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indicating the time until failure. Thus, it can be written as
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likelihood for the experience on any given day is as follows
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In a similar manner, mean down time (MDT) can be defined as
3225: â€“ Measure of the maintainability of repairable items 3219: â€“ Average service life for non-repairable components 402:. Equivalently, the MTBF can be expressed in terms of the 3243: â€“ Statistical parameter of random process evolution 496:{\displaystyle {\text{MTBF}}=\int _{0}^{\infty }R(t)\,dt} 3002:= the probability density function of the distribution). 2679:. In fact with a parametric model of the lifetime, the 3629:"What is Mean Time to Failure and How Do We Calculate?" 3279:
J. Lienig, H. Bruemmer (2017). "Reliability Analysis".
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exceeds the time they've been running. This is called
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The MTBF is the expected value of the random variable
3621:"Simple Guide to MTBF: What It Is and When To use It" 3283:. Springer International Publishing. pp. 45–73. 3154: 3134: 3105: 3040: 3016: 2979: 2907: 2878: 2842: 2813: 2784: 2692: 2521: 2347: 2206: 2043: 1833: 1803: 1783: 1745: 1705: 1169: 1123: 889: 827: 740: 685: 634: 611: 591: 567: 547: 513: 450: 411: 388: 348: 259: 236: 167: 100: 3753: 3704: 3673: 3213: â€“ Term of reliability in the bowling industry 656:{\displaystyle {\text{MTBF}}={\frac {1}{\lambda }}} 3176: 3140: 3120: 3087: 3022: 2994: 2961: 2891: 2864: 2826: 2797: 2763: 2627: 2468: 2327: 2185: 2023: 1809: 1789: 1769: 1731: 1689: 1149: 1106: 853: 754: 726: 655: 617: 597: 573: 553: 519: 495: 433: 394: 370: 331: 242: 214: 147: 3327:"Defining Failure: What Is MTTR, MTTF, and MTBF?" 37:) is the predicted elapsed time between inherent 3088:{\displaystyle 1/{\hat {\lambda }}=\sum u_{i}/k} 3311:Colombo, A.G., and Sáiz de Bustamante, Amalio: 2666:is the number of operations/cycle in one year. 2973:, the instantaneous force of mortality (where 2338:which can be shown by induction, and likewise 3651: 3403:"MTBF: What it means and how to calculate it" 8: 3357:Reliability Engineering: Theory and Practice 3184:is the number of uncensored observations. 3148:, maximizing the likelihood given above and 2872:= the probability that the lifetime exceeds 279: 273: 3030:, is constant. In this case, the MBTF is 2834:= 1 for failures and 0 for censoring times, 2487:There are many variations of MTBF, such as 1777:is the probability of failure of component 3658: 3644: 3636: 3483:(eighth ed.). Butterworth-Heinemann. 3351: 3349: 3347: 2462: 2321: 2179: 2017: 1679: 1100: 605:. Since the MTBF is the expected value of 3281:Fundamentals of Electronic Systems Design 3249: â€“ Curve for failure rates over time 3168: 3153: 3133: 3107: 3106: 3104: 3077: 3071: 3050: 3049: 3044: 3039: 3015: 2978: 2962:{\displaystyle \lambda (u_{i})=f(u)/S(u)} 2942: 2918: 2906: 2883: 2877: 2853: 2841: 2818: 2812: 2789: 2783: 2752: 2734: 2729: 2719: 2703: 2691: 2609: 2592: 2586: 2574: 2558: 2544: 2538: 2526: 2522: 2520: 2453: 2436: 2424: 2418: 2412: 2401: 2379: 2360: 2348: 2346: 2312: 2295: 2283: 2277: 2271: 2260: 2238: 2219: 2207: 2205: 2167: 2155: 2143: 2131: 2120: 2108: 2096: 2084: 2081: 2069: 2056: 2044: 2042: 2005: 1993: 1981: 1969: 1958: 1946: 1934: 1922: 1910: 1898: 1886: 1874: 1871: 1859: 1846: 1834: 1832: 1802: 1782: 1744: 1723: 1710: 1704: 1667: 1655: 1643: 1631: 1620: 1608: 1596: 1584: 1581: 1556: 1544: 1533: 1521: 1518: 1503: 1491: 1485: 1470: 1458: 1447: 1435: 1432: 1417: 1405: 1399: 1393: 1368: 1356: 1347: 1335: 1320: 1308: 1302: 1287: 1275: 1266: 1254: 1239: 1227: 1221: 1215: 1199: 1186: 1174: 1170: 1168: 1141: 1128: 1122: 1088: 1076: 1064: 1052: 1041: 1029: 1017: 1005: 1002: 984: 972: 966: 951: 939: 933: 927: 915: 902: 890: 888: 845: 832: 826: 744: 739: 712: 690: 684: 643: 635: 633: 610: 590: 566: 546: 512: 486: 468: 463: 451: 449: 416: 410: 387: 353: 347: 322: 307: 294: 289: 269: 268: 260: 258: 235: 194: 186: 182: 176: 168: 166: 127: 119: 115: 109: 101: 99: 3623:. Road to Reliability. 10 December 2021. 3274: 3272: 3270: 3268: 3266: 3264: 3474: 3472: 3260: 817:MTBF and MDT for networks of components 727:{\displaystyle R_{T}(t)=e^{-\lambda t}} 71: 3128:is the maximum likelihood estimate of 3593:"Reliability and Availability Basics" 3481:Reliability, Maintainability and Risk 2497:mean time between unscheduled removal 7: 3426:PhD, Bartosz Misiurek (2021-11-22). 1732:{\displaystyle c_{1}\parallel c_{2}} 793:Application of MTBF in manufacturing 3613:"Failure Rates, MTBF, and All That" 2899:, called the survival function, and 2493:mean time between critical failures 3177:{\displaystyle k=\sum \sigma _{i}} 527:have units of time (e.g., hours). 469: 295: 25: 3121:{\displaystyle {\hat {\lambda }}} 541:Assuming a constant failure rate 3607:. Vicor Reliability Engineering. 3428:"MTBF MTTR MTTF: TPM Indicators" 80: 3602:"Reliability and MTBF Overview" 3463:auroraconsultingengineering.com 3383:. Vicor Reliability Engineering 3378:"Reliability and MTBF Overview" 2489:mean time between system aborts 3112: 3055: 2989: 2983: 2956: 2950: 2939: 2933: 2924: 2911: 2859: 2846: 2758: 2745: 2726: 2712: 2442: 2429: 2385: 2353: 2301: 2288: 2244: 2212: 2173: 2160: 2149: 2136: 2126: 2113: 2102: 2089: 2075: 2049: 2011: 1998: 1987: 1974: 1964: 1951: 1940: 1927: 1916: 1903: 1892: 1879: 1865: 1839: 1797:during "vulnerability window" 1764: 1752: 1673: 1660: 1649: 1636: 1626: 1613: 1602: 1589: 1562: 1549: 1539: 1526: 1509: 1496: 1476: 1463: 1453: 1440: 1423: 1410: 1377: 1374: 1361: 1340: 1326: 1313: 1296: 1293: 1280: 1259: 1245: 1232: 1205: 1179: 1094: 1081: 1070: 1057: 1047: 1034: 1023: 1010: 990: 977: 957: 944: 921: 895: 702: 696: 483: 477: 428: 422: 365: 359: 319: 313: 199: 183: 132: 116: 1: 3505:"MTBF Allocations Analysis1" 799:total productive maintenance 380:probability density function 3479:Dr. David J. Smith (2011). 3289:10.1007/978-3-319-55840-0_4 3241:Residence time (statistics) 2827:{\displaystyle \delta _{i}} 1150:{\displaystyle c_{1};c_{2}} 854:{\displaystyle c_{1},c_{2}} 3828: 3217:Mean time to first failure 2670:MTBF considering censoring 31:Mean time between failures 3359:. Springer, Berlin 2013, 3331:Stephen Foskett, Pack Rat 2652:is number of operations. 2502:It is recommended to use 811:key performance indicator 534:(the middle part of the " 3705:Electricity distribution 3141:{\displaystyle \lambda } 3023:{\displaystyle \lambda } 3008:exponential distribution 2865:{\displaystyle S(u_{i})} 677:exponential distribution 598:{\displaystyle \lambda } 583:exponential distribution 554:{\displaystyle \lambda } 434:{\displaystyle R_{T}(t)} 371:{\displaystyle f_{T}(t)} 226:Mathematical description 74:would be 116.667 hours. 3631:. NEXGEN. 21 June 2023. 3407:total-manufacturing.com 3235:Reliability engineering 3199:Annualized failure rate 1770:{\displaystyle PF(c,t)} 3754:Electricity generation 3600:Speaks, Scott (2005). 3178: 3142: 3122: 3089: 3024: 2996: 2963: 2893: 2866: 2828: 2799: 2765: 2629: 2470: 2417: 2329: 2276: 2187: 2025: 1811: 1791: 1771: 1733: 1691: 1151: 1108: 855: 756: 728: 657: 619: 599: 575: 555: 521: 497: 435: 396: 372: 333: 244: 216: 149: 3355:Alessandro Birolini: 3179: 3143: 3123: 3090: 3025: 2997: 2964: 2894: 2892:{\displaystyle u_{i}} 2867: 2829: 2800: 2798:{\displaystyle u_{i}} 2766: 2630: 2471: 2397: 2330: 2256: 2188: 2026: 1812: 1792: 1772: 1734: 1692: 1152: 1109: 856: 757: 729: 658: 620: 600: 576: 556: 522: 498: 436: 397: 373: 334: 245: 217: 150: 3802:Engineering failures 3152: 3132: 3103: 3038: 3014: 2995:{\displaystyle f(u)} 2977: 2905: 2876: 2840: 2811: 2782: 2690: 2519: 2504:Mean time to failure 2345: 2204: 2041: 1831: 1801: 1781: 1743: 1703: 1167: 1121: 887: 825: 738: 683: 673:reliability function 632: 609: 589: 565: 545: 511: 448: 409: 404:reliability function 386: 346: 257: 234: 165: 98: 47:mean time to failure 3812:Reliability indices 3667:Reliability indices 3517:on November 6, 2002 3223:Mean time to repair 755:{\displaystyle 1/e} 473: 299: 3174: 3138: 3118: 3085: 3020: 2992: 2959: 2889: 2862: 2824: 2795: 2761: 2708: 2625: 2623: 2483:Variations of MTBF 2466: 2325: 2183: 2021: 1807: 1787: 1767: 1729: 1687: 1685: 1147: 1104: 851: 752: 724: 653: 615: 595: 571: 551: 517: 493: 459: 431: 392: 368: 329: 285: 240: 212: 205:number of failures 145: 138:number of failures 3807:Survival analysis 3789: 3788: 3365:978-3-642-39534-5 3298:978-3-319-55839-4 3115: 3058: 2699: 2616: 2612: 2577: 2565: 2561: 2529: 2446: 2427: 2351: 2305: 2286: 2210: 2177: 2158: 2134: 2111: 2087: 2047: 2015: 1996: 1972: 1949: 1925: 1901: 1877: 1837: 1810:{\displaystyle t} 1790:{\displaystyle c} 1677: 1658: 1634: 1611: 1587: 1569: 1566: 1547: 1524: 1513: 1494: 1480: 1461: 1438: 1427: 1408: 1381: 1359: 1338: 1330: 1311: 1278: 1257: 1249: 1230: 1177: 1098: 1079: 1055: 1032: 1008: 997: 994: 975: 961: 942: 893: 651: 638: 618:{\displaystyle T} 574:{\displaystyle T} 520:{\displaystyle T} 454: 395:{\displaystyle T} 263: 243:{\displaystyle T} 207: 206: 197: 196:start of downtime 189: 171: 140: 139: 130: 122: 121:start of downtime 104: 16:(Redirected from 3819: 3660: 3653: 3646: 3637: 3632: 3624: 3616: 3608: 3606: 3596: 3579: 3577: 3568: 3557: 3551: 3550: 3548: 3546: 3540: 3532: 3526: 3525: 3523: 3522: 3513:. 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1439: 1436: 1433: 1428: 1426: 1422: 1421: 1409: 1406: 1400: 1394: 1386: 1382: 1380: 1373: 1372: 1360: 1357: 1352: 1351: 1339: 1336: 1331: 1329: 1325: 1324: 1312: 1309: 1303: 1292: 1291: 1279: 1276: 1271: 1270: 1258: 1255: 1250: 1248: 1244: 1243: 1231: 1228: 1222: 1216: 1204: 1203: 1191: 1190: 1178: 1175: 1156: 1154: 1153: 1148: 1146: 1145: 1133: 1132: 1113: 1111: 1110: 1105: 1099: 1097: 1093: 1092: 1080: 1077: 1069: 1068: 1056: 1053: 1050: 1046: 1045: 1033: 1030: 1022: 1021: 1009: 1006: 1003: 998: 996: 995: 993: 989: 988: 976: 973: 967: 962: 960: 956: 955: 943: 940: 934: 928: 920: 919: 907: 906: 894: 891: 860: 858: 857: 852: 850: 849: 837: 836: 761: 759: 758: 753: 748: 733: 731: 730: 725: 723: 722: 695: 694: 662: 660: 659: 654: 652: 644: 639: 636: 624: 622: 621: 616: 604: 602: 601: 596: 580: 578: 577: 572: 560: 558: 557: 552: 526: 524: 523: 518: 502: 500: 499: 494: 472: 467: 455: 452: 440: 438: 437: 432: 421: 420: 401: 399: 398: 393: 377: 375: 374: 369: 358: 357: 338: 336: 335: 330: 312: 311: 298: 293: 272: 264: 261: 249: 247: 246: 241: 221: 219: 218: 213: 208: 204: 203: 202: 198: 195: 190: 187: 177: 172: 169: 154: 152: 151: 146: 141: 137: 136: 135: 131: 128: 123: 120: 110: 105: 102: 84: 21: 3827: 3826: 3822: 3821: 3820: 3818: 3817: 3816: 3792: 3791: 3790: 3785: 3749: 3700: 3669: 3664: 3627: 3619: 3611: 3604: 3599: 3591: 3588: 3583: 3582: 3566: 3559: 3558: 3554: 3544: 3542: 3538: 3534: 3533: 3529: 3520: 3518: 3503: 3502: 3498: 3491: 3478: 3477: 3470: 3457: 3456: 3445: 3436: 3434: 3425: 3424: 3420: 3411: 3409: 3401: 3400: 3396: 3386: 3384: 3380: 3376: 3375: 3371: 3354: 3345: 3336: 3334: 3325: 3324: 3320: 3310: 3306: 3299: 3278: 3277: 3262: 3257: 3252: 3211:Frames per stop 3194: 3164: 3150: 3149: 3130: 3129: 3101: 3100: 3067: 3036: 3035: 3012: 3011: 3006:For a constant 2975: 2974: 2971:hazard function 2914: 2903: 2902: 2879: 2874: 2873: 2849: 2838: 2837: 2814: 2809: 2808: 2785: 2780: 2779: 2748: 2730: 2725: 2715: 2688: 2687: 2672: 2665: 2658: 2651: 2644: 2622: 2621: 2605: 2601: 2588: 2579: 2571: 2570: 2554: 2550: 2540: 2531: 2517: 2516: 2485: 2432: 2423: 2396: 2392: 2391: 2375: 2356: 2343: 2342: 2291: 2282: 2255: 2251: 2250: 2234: 2215: 2202: 2201: 2163: 2139: 2130: 2116: 2092: 2083: 2065: 2052: 2039: 2038: 2001: 1977: 1968: 1954: 1930: 1906: 1882: 1873: 1855: 1842: 1829: 1828: 1799: 1798: 1779: 1778: 1741: 1740: 1719: 1706: 1701: 1700: 1684: 1683: 1663: 1639: 1630: 1616: 1592: 1583: 1572: 1571: 1552: 1543: 1529: 1520: 1499: 1490: 1466: 1457: 1443: 1434: 1413: 1404: 1398: 1384: 1383: 1364: 1343: 1316: 1307: 1283: 1262: 1235: 1226: 1220: 1208: 1195: 1182: 1165: 1164: 1137: 1124: 1119: 1118: 1084: 1060: 1051: 1037: 1013: 1004: 980: 971: 947: 938: 932: 911: 898: 885: 884: 841: 828: 823: 822: 821:Two components 819: 795: 768: 736: 735: 708: 686: 681: 680: 630: 629: 607: 606: 587: 586: 585:with parameter 563: 562: 543: 542: 509: 508: 446: 445: 412: 407: 406: 384: 383: 349: 344: 343: 303: 255: 254: 232: 231: 228: 188:start of uptime 178: 163: 162: 129:start of uptime 111: 96: 95: 67: 43:arithmetic mean 28: 23: 22: 15: 12: 11: 5: 3825: 3823: 3815: 3814: 3809: 3804: 3794: 3793: 3787: 3786: 3784: 3783: 3778: 3773: 3768: 3763: 3757: 3755: 3751: 3750: 3748: 3747: 3742: 3737: 3728: 3719: 3714: 3708: 3706: 3702: 3701: 3699: 3698: 3693: 3688: 3683: 3677: 3675: 3671: 3670: 3665: 3663: 3662: 3655: 3648: 3640: 3634: 3633: 3625: 3617: 3609: 3597: 3587: 3586:External links 3584: 3581: 3580: 3552: 3541:. TUVRheinland 3527: 3496: 3490:978-0080969022 3489: 3468: 3443: 3432:Lean Community 3418: 3394: 3369: 3343: 3318: 3304: 3297: 3259: 3258: 3256: 3253: 3251: 3250: 3244: 3238: 3232: 3229:Power-on hours 3226: 3220: 3214: 3208: 3202: 3195: 3193: 3190: 3171: 3167: 3163: 3160: 3157: 3137: 3114: 3111: 3097: 3096: 3084: 3080: 3074: 3070: 3066: 3063: 3057: 3054: 3047: 3043: 3019: 3010:, the hazard, 3004: 3003: 2991: 2988: 2985: 2982: 2969:is called the 2958: 2955: 2952: 2949: 2945: 2941: 2938: 2935: 2932: 2929: 2926: 2921: 2917: 2913: 2910: 2900: 2886: 2882: 2861: 2856: 2852: 2848: 2845: 2835: 2821: 2817: 2806: 2792: 2788: 2773: 2772: 2760: 2755: 2751: 2747: 2744: 2737: 2733: 2728: 2722: 2718: 2714: 2711: 2706: 2702: 2698: 2695: 2671: 2668: 2663: 2656: 2649: 2642: 2636: 2635: 2620: 2608: 2604: 2598: 2595: 2591: 2585: 2582: 2580: 2573: 2572: 2569: 2557: 2553: 2547: 2543: 2537: 2534: 2532: 2525: 2524: 2484: 2481: 2477: 2476: 2465: 2459: 2456: 2451: 2444: 2439: 2435: 2431: 2422: 2415: 2410: 2407: 2404: 2400: 2395: 2390: 2387: 2382: 2378: 2374: 2371: 2368: 2363: 2359: 2355: 2336: 2335: 2324: 2318: 2315: 2310: 2303: 2298: 2294: 2290: 2281: 2274: 2269: 2266: 2263: 2259: 2254: 2249: 2246: 2241: 2237: 2233: 2230: 2227: 2222: 2218: 2214: 2194: 2193: 2182: 2175: 2170: 2166: 2162: 2154: 2151: 2146: 2142: 2138: 2128: 2123: 2119: 2115: 2107: 2104: 2099: 2095: 2091: 2080: 2077: 2072: 2068: 2064: 2059: 2055: 2051: 2032: 2031: 2020: 2013: 2008: 2004: 2000: 1992: 1989: 1984: 1980: 1976: 1966: 1961: 1957: 1953: 1945: 1942: 1937: 1933: 1929: 1921: 1918: 1913: 1909: 1905: 1897: 1894: 1889: 1885: 1881: 1870: 1867: 1862: 1858: 1854: 1849: 1845: 1841: 1806: 1786: 1766: 1763: 1760: 1757: 1754: 1751: 1748: 1726: 1722: 1718: 1713: 1709: 1682: 1675: 1670: 1666: 1662: 1654: 1651: 1646: 1642: 1638: 1628: 1623: 1619: 1615: 1607: 1604: 1599: 1595: 1591: 1580: 1577: 1575: 1573: 1564: 1559: 1555: 1551: 1541: 1536: 1532: 1528: 1517: 1511: 1506: 1502: 1498: 1489: 1484: 1478: 1473: 1469: 1465: 1455: 1450: 1446: 1442: 1431: 1425: 1420: 1416: 1412: 1403: 1397: 1392: 1389: 1387: 1385: 1379: 1376: 1371: 1367: 1363: 1355: 1350: 1346: 1342: 1334: 1328: 1323: 1319: 1315: 1306: 1301: 1298: 1295: 1290: 1286: 1282: 1274: 1269: 1265: 1261: 1253: 1247: 1242: 1238: 1234: 1225: 1219: 1214: 1211: 1209: 1207: 1202: 1198: 1194: 1189: 1185: 1181: 1173: 1172: 1144: 1140: 1136: 1131: 1127: 1115: 1114: 1103: 1096: 1091: 1087: 1083: 1075: 1072: 1067: 1063: 1059: 1049: 1044: 1040: 1036: 1028: 1025: 1020: 1016: 1012: 1001: 992: 987: 983: 979: 970: 965: 959: 954: 950: 946: 937: 931: 926: 923: 918: 914: 910: 905: 901: 897: 848: 844: 840: 835: 831: 818: 815: 794: 791: 787:mean down time 767: 764: 751: 747: 743: 721: 718: 715: 711: 707: 704: 701: 698: 693: 689: 665: 664: 650: 647: 642: 614: 594: 570: 550: 516: 505: 504: 492: 489: 485: 482: 479: 476: 471: 466: 462: 458: 430: 427: 424: 419: 415: 391: 367: 364: 361: 356: 352: 340: 339: 328: 325: 321: 318: 315: 310: 306: 302: 297: 292: 288: 284: 281: 278: 275: 271: 267: 239: 227: 224: 223: 222: 211: 201: 193: 185: 181: 175: 156: 155: 144: 134: 126: 118: 114: 108: 66: 63: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 3824: 3813: 3810: 3808: 3805: 3803: 3800: 3799: 3797: 3782: 3779: 3777: 3774: 3772: 3769: 3767: 3764: 3762: 3759: 3758: 3756: 3752: 3746: 3743: 3741: 3738: 3736: 3732: 3729: 3727: 3723: 3720: 3718: 3715: 3713: 3710: 3709: 3707: 3703: 3697: 3694: 3692: 3689: 3687: 3684: 3682: 3679: 3678: 3676: 3672: 3668: 3661: 3656: 3654: 3649: 3647: 3642: 3641: 3638: 3630: 3626: 3622: 3618: 3614: 3610: 3603: 3598: 3595:. EventHelix. 3594: 3590: 3589: 3585: 3576: 3572: 3565: 3564: 3556: 3553: 3537: 3531: 3528: 3516: 3512: 3511: 3506: 3500: 3497: 3492: 3486: 3482: 3475: 3473: 3469: 3464: 3460: 3454: 3452: 3450: 3448: 3444: 3433: 3429: 3422: 3419: 3408: 3404: 3398: 3395: 3379: 3373: 3370: 3366: 3362: 3358: 3352: 3350: 3348: 3344: 3333:. 6 July 2011 3332: 3328: 3322: 3319: 3315: 3308: 3305: 3300: 3294: 3290: 3286: 3282: 3275: 3273: 3271: 3269: 3267: 3265: 3261: 3254: 3248: 3247:Bathtub curve 3245: 3242: 3239: 3236: 3233: 3230: 3227: 3224: 3221: 3218: 3215: 3212: 3209: 3206: 3203: 3200: 3197: 3196: 3191: 3189: 3185: 3169: 3165: 3161: 3158: 3155: 3135: 3109: 3082: 3078: 3072: 3068: 3064: 3061: 3052: 3045: 3041: 3033: 3032: 3031: 3017: 3009: 2986: 2980: 2972: 2953: 2947: 2943: 2936: 2930: 2927: 2919: 2915: 2908: 2901: 2884: 2880: 2854: 2850: 2843: 2836: 2819: 2815: 2807: 2790: 2786: 2778: 2777: 2776: 2753: 2749: 2742: 2735: 2731: 2720: 2716: 2709: 2704: 2700: 2696: 2693: 2686: 2685: 2684: 2682: 2678: 2669: 2667: 2662: 2655: 2648: 2641: 2618: 2606: 2602: 2596: 2593: 2589: 2583: 2581: 2567: 2555: 2551: 2545: 2541: 2535: 2533: 2515: 2514: 2513: 2511: 2507: 2505: 2500: 2498: 2494: 2490: 2482: 2480: 2463: 2457: 2454: 2449: 2437: 2433: 2420: 2413: 2408: 2405: 2402: 2398: 2393: 2388: 2380: 2376: 2372: 2369: 2366: 2361: 2357: 2341: 2340: 2339: 2322: 2316: 2313: 2308: 2296: 2292: 2279: 2272: 2267: 2264: 2261: 2257: 2252: 2247: 2239: 2235: 2231: 2228: 2225: 2220: 2216: 2200: 2199: 2198: 2180: 2168: 2164: 2152: 2144: 2140: 2121: 2117: 2105: 2097: 2093: 2078: 2070: 2066: 2062: 2057: 2053: 2037: 2036: 2035: 2018: 2006: 2002: 1990: 1982: 1978: 1959: 1955: 1943: 1935: 1931: 1919: 1911: 1907: 1895: 1887: 1883: 1868: 1860: 1856: 1852: 1847: 1843: 1827: 1826: 1825: 1822: 1818: 1804: 1784: 1761: 1758: 1755: 1749: 1746: 1724: 1720: 1716: 1711: 1707: 1697: 1680: 1668: 1664: 1652: 1644: 1640: 1621: 1617: 1605: 1597: 1593: 1578: 1576: 1557: 1553: 1534: 1530: 1515: 1504: 1500: 1487: 1482: 1471: 1467: 1448: 1444: 1429: 1418: 1414: 1401: 1395: 1390: 1388: 1369: 1365: 1353: 1348: 1344: 1332: 1321: 1317: 1304: 1299: 1288: 1284: 1272: 1267: 1263: 1251: 1240: 1236: 1223: 1217: 1212: 1210: 1200: 1196: 1192: 1187: 1183: 1162: 1158: 1142: 1138: 1134: 1129: 1125: 1101: 1089: 1085: 1073: 1065: 1061: 1042: 1038: 1026: 1018: 1014: 999: 985: 981: 968: 963: 952: 948: 935: 929: 924: 916: 912: 908: 903: 899: 883: 882: 881: 878: 874: 870: 869: 865: 846: 842: 838: 833: 829: 816: 814: 812: 806: 804: 803:effectiveness 800: 792: 790: 788: 783: 779: 777: 772: 765: 763: 749: 745: 741: 719: 716: 713: 709: 705: 699: 691: 687: 678: 674: 670: 648: 645: 640: 628: 627: 626: 612: 592: 584: 568: 561:implies that 548: 539: 537: 536:bathtub curve 533: 528: 514: 507:The MTBF and 490: 487: 480: 474: 464: 460: 456: 444: 443: 442: 425: 417: 413: 405: 389: 381: 362: 354: 350: 326: 323: 316: 308: 304: 300: 290: 286: 282: 276: 265: 253: 252: 251: 237: 225: 209: 191: 179: 173: 161: 160: 159: 142: 124: 112: 106: 94: 93: 92: 89: 85: 83: 78: 75: 73: 64: 62: 59: 54: 52: 48: 44: 40: 36: 32: 19: 3615:. MathPages. 3562: 3555: 3543:. Retrieved 3530: 3519:. Retrieved 3515:the original 3508: 3499: 3480: 3462: 3435:. Retrieved 3431: 3421: 3410:. Retrieved 3406: 3397: 3385:. Retrieved 3372: 3356: 3335:. Retrieved 3330: 3321: 3312: 3307: 3280: 3205:Failure rate 3186: 3098: 3005: 2774: 2673: 2660: 2653: 2646: 2639: 2637: 2508: 2503: 2501: 2496: 2492: 2488: 2486: 2478: 2337: 2195: 2033: 1823: 1819: 1698: 1163: 1159: 1116: 876: 872: 867: 863: 820: 807: 796: 784: 780: 775: 773: 769: 666: 540: 532:failure rate 529: 506: 341: 229: 157: 90: 86: 79: 76: 68: 55: 50: 46: 34: 30: 29: 2495:(MTBCF) or 766:Application 669:probability 3796:Categories 3521:2016-12-23 3437:2024-02-07 3412:2024-02-07 3337:2016-01-18 3255:References 58:repairable 3575:Q98961801 3560:Lu Tian, 3510:Angelfire 3166:σ 3162:∑ 3136:λ 3113:^ 3110:λ 3065:∑ 3056:^ 3053:λ 3018:λ 2909:λ 2816:δ 2732:δ 2710:λ 2701:∏ 2677:censoring 2584:≈ 2536:≈ 2491:(MTBSA), 2455:− 2399:∑ 2373:∥ 2370:⋯ 2367:∥ 2314:− 2258:∑ 2229:… 2106:× 2063:∥ 1944:× 1896:× 1717:∥ 1606:× 1516:× 1430:× 1333:× 1252:× 1193:∥ 1027:× 717:λ 714:− 649:λ 593:λ 549:λ 470:∞ 461:∫ 296:∞ 287:∫ 192:− 180:∑ 125:− 113:∑ 3571:Wikidata 3192:See also 868:parallel 65:Overview 39:failures 3674:Generic 3034:MTBF = 2775:where 675:of the 581:has an 378:is the 3745:CTAIDI 3573:  3545:7 July 3487:  3387:1 June 3363:  3316:, 1988 3314:Madrid 3295:  3099:where 2638:where 2197:into 1699:where 1117:where 873:either 866:or in 864:series 342:where 3771:LOLEV 3740:MAIFI 3735:SAIFI 3731:CAIFI 3726:SAIDI 3722:CAIDI 3605:(PDF) 3567:(PDF) 3539:(PDF) 3381:(PDF) 2576:MTTFd 2510:MTTFd 3781:LOLH 3776:LOLF 3766:LOLE 3761:LOLP 3717:ASAI 3712:ASUI 3696:EFOR 3686:MTTR 3681:MTBF 3547:2015 3485:ISBN 3389:2017 3361:ISBN 3293:ISBN 2528:MTTF 2285:mtbf 2209:mtbf 1995:mtbf 1971:mtbf 1924:mtbf 1876:mtbf 1610:mtbf 1586:mtbf 1546:mtbf 1493:mtbf 1460:mtbf 1407:mtbf 1310:mtbf 1229:mtbf 1176:mtbf 1078:mtbf 1054:mtbf 1031:mtbf 1007:mtbf 974:mtbf 941:mtbf 892:mtbf 877:both 637:MTBF 453:MTBF 262:MTBF 103:MTBF 72:MTTF 51:MTTF 35:MTBF 18:MTTF 3691:FOR 3285:doi 2657:10d 2603:0.1 2560:onm 2552:0.1 2426:mdt 2350:mdt 2157:mdt 2133:mdt 2110:mdt 2086:mdt 2046:mdt 1948:mdt 1900:mdt 1836:mdt 1657:mdt 1633:mdt 1523:mdt 1437:mdt 1358:mdt 1277:mdt 441:as 382:of 170:MDT 3798:: 3569:, 3507:. 3471:^ 3461:. 3446:^ 3430:. 3405:. 3346:^ 3329:. 3291:. 3263:^ 2683:: 2664:op 2650:op 2643:10 2611:op 2594:10 2546:10 1817:. 1337:PF 1256:PF 679:, 3733:/ 3724:/ 3659:e 3652:t 3645:v 3578:. 3549:. 3524:. 3493:. 3465:. 3440:. 3415:. 3391:. 3367:. 3340:. 3301:. 3287:: 3170:i 3159:= 3156:k 3095:, 3083:k 3079:/ 3073:i 3069:u 3062:= 3046:/ 3042:1 2990:) 2987:u 2984:( 2981:f 2957:) 2954:u 2951:( 2948:S 2944:/ 2940:) 2937:u 2934:( 2931:f 2928:= 2925:) 2920:i 2916:u 2912:( 2885:i 2881:u 2860:) 2855:i 2851:u 2847:( 2844:S 2820:i 2791:i 2787:u 2771:, 2759:) 2754:i 2750:u 2746:( 2743:S 2736:i 2727:) 2721:i 2717:u 2713:( 2705:i 2697:= 2694:L 2661:n 2654:B 2647:n 2640:B 2619:, 2607:n 2597:d 2590:B 2568:, 2556:n 2542:B 2464:, 2458:1 2450:) 2443:) 2438:k 2434:c 2430:( 2421:1 2414:n 2409:1 2406:= 2403:k 2394:( 2389:= 2386:) 2381:n 2377:c 2362:1 2358:c 2354:( 2323:, 2317:1 2309:) 2302:) 2297:k 2293:c 2289:( 2280:1 2273:n 2268:1 2265:= 2262:k 2253:( 2248:= 2245:) 2240:n 2236:c 2232:; 2226:; 2221:1 2217:c 2213:( 2181:. 2174:) 2169:2 2165:c 2161:( 2153:+ 2150:) 2145:1 2141:c 2137:( 2127:) 2122:2 2118:c 2114:( 2103:) 2098:1 2094:c 2090:( 2079:= 2076:) 2071:2 2067:c 2058:1 2054:c 2050:( 2019:, 2012:) 2007:2 2003:c 1999:( 1991:+ 1988:) 1983:1 1979:c 1975:( 1965:) 1960:1 1956:c 1952:( 1941:) 1936:2 1932:c 1928:( 1920:+ 1917:) 1912:2 1908:c 1904:( 1893:) 1888:1 1884:c 1880:( 1869:= 1866:) 1861:2 1857:c 1853:; 1848:1 1844:c 1840:( 1805:t 1785:c 1765:) 1762:t 1759:, 1756:c 1753:( 1750:F 1747:P 1725:2 1721:c 1712:1 1708:c 1681:, 1674:) 1669:2 1665:c 1661:( 1653:+ 1650:) 1645:1 1641:c 1637:( 1627:) 1622:2 1618:c 1614:( 1603:) 1598:1 1594:c 1590:( 1579:= 1563:) 1558:1 1554:c 1550:( 1540:) 1535:2 1531:c 1527:( 1510:) 1505:2 1501:c 1497:( 1488:1 1483:+ 1477:) 1472:2 1468:c 1464:( 1454:) 1449:1 1445:c 1441:( 1424:) 1419:1 1415:c 1411:( 1402:1 1396:1 1391:= 1378:) 1375:) 1370:2 1366:c 1362:( 1354:, 1349:1 1345:c 1341:( 1327:) 1322:2 1318:c 1314:( 1305:1 1300:+ 1297:) 1294:) 1289:1 1285:c 1281:( 1273:, 1268:2 1264:c 1260:( 1246:) 1241:1 1237:c 1233:( 1224:1 1218:1 1213:= 1206:) 1201:2 1197:c 1188:1 1184:c 1180:( 1143:2 1139:c 1135:; 1130:1 1126:c 1102:, 1095:) 1090:2 1086:c 1082:( 1074:+ 1071:) 1066:1 1062:c 1058:( 1048:) 1043:2 1039:c 1035:( 1024:) 1019:1 1015:c 1011:( 1000:= 991:) 986:2 982:c 978:( 969:1 964:+ 958:) 953:1 949:c 945:( 936:1 930:1 925:= 922:) 917:2 913:c 909:; 904:1 900:c 896:( 847:2 843:c 839:, 834:1 830:c 776:t 750:e 746:/ 742:1 720:t 710:e 706:= 703:) 700:t 697:( 692:T 688:R 663:. 646:1 641:= 613:T 569:T 515:T 503:. 491:t 488:d 484:) 481:t 478:( 475:R 465:0 457:= 429:) 426:t 423:( 418:T 414:R 390:T 366:) 363:t 360:( 355:T 351:f 327:t 324:d 320:) 317:t 314:( 309:T 305:f 301:t 291:0 283:= 280:} 277:T 274:{ 270:E 266:= 238:T 210:. 200:) 184:( 174:= 143:. 133:) 117:( 107:= 49:( 33:( 20:)

Index

MTTF
failures
arithmetic mean
repairable
MTTF

probability density function
reliability function
failure rate
bathtub curve
exponential distribution
probability
reliability function
exponential distribution
mean down time
total productive maintenance
effectiveness
key performance indicator
series or in parallel
MTTFd
censoring
likelihood for the experience on any given day is as follows
hazard function
exponential distribution
Annualized failure rate
Failure rate
Frames per stop
Mean time to first failure
Mean time to repair
Power-on hours

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