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Mean Time to Achieve a Failure-Free Requirement
IEEE Transactions on Reliability, 1985A common reliability test procedure is to test until a given, consecutive, failure-free time has passed. This paper gives expressions for the mean time to test completion, for both elapsed and operating time, for general probability distributions. The situations in which the test is monitored periodically and the repair time is not zero are considered.
Angus, John E., Schafer, Ray E.
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Mean Time to Failure with Preventive Maintenance
IEEE Transactions on Reliability, 1980This paper considers a periodic pm (preventive maintenance) policy where pm reduces the age of an operating unit by x units of time. We obtain i) the mean time to failure and ii) the s-expected number of pm's before failure.
Toshio Nakagawa
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Mean time to failure and availability of semi-Markov missions with maximal repair
European Journal of Operational Research, 2010 We analyze mean time to failure and availability of semi-Markov missions that consist of phases with random sequence and durations. It is assumed that the system is a complex one with nonidentical components whose failure properties depend on the mission
Bora Çekyay, Suleyman Özekici
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Comparison of mean time to first failure and mean up time
Microelectronics Reliability, 1983Abstract Two unit standby redundant repairable system, parallel systems and series systems are studied. The time between failures and the repair time are assumed exponentially distributed. Expressions for mean time to first failure (MTTFF) and mean up time (MUT) have been obtained.
Chanan Singh, Sohrab Asgarpoor
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THE MYTHICAL MEAN TIME TO FAILURE
IFAC Proceedings Volumes, 1992Abstract As software engineering has emerged as a discipline in its own right, its practitioners have often borrowed methods and techniques from other engineering fields. These techniques have proved useful in the past, and the expectation has been that they would have a similar utility when applied to software.
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On the Mean Time between Failures for Repairable Systems
IEEE Transactions on Reliability, 1986Much of the recent work on modelling repairable systems involves Poisson processes with nonconstant intensity functions, viz, nonhomogeneous Poisson processes. Since times between failures are not identically distributed when the process is nonhomogeneous, it is not clear what concept should take the place of the mean time between failures in assessing
Engelhardt, Max, Bain, Lee J.
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Mean time to failure of systems with dependent components
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chin-Diew Lai, Gwo Dong Lin
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The mean time between failures for an LCD panel
Quality and Reliability Engineering International, 2011AbstractThe calculation of mean time between failures is very important in reliability life data analysis. For different distributions, the values of mean time between failures are always different. The two‐parameter Weibull distribution is widely used in reliability engineering. However, some distributions may offer a better fit of data.
Fu-Kwun Wang, Tao-Peng Chu
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On the scalability and mean-time to failure of $k$ resilient protocols
Acta Informatica, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sampath Rangarajan +2 more
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2002
With the increased use of electronics and networks comes a concern about their failure modes. If they fail, we wish they did so in a benign manner. Hence, a reliability parameter of interest is the expected time to a disastrous failure, where there is a loss of money, information, or time. The models and methods for computing this expectation, however,
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With the increased use of electronics and networks comes a concern about their failure modes. If they fail, we wish they did so in a benign manner. Hence, a reliability parameter of interest is the expected time to a disastrous failure, where there is a loss of money, information, or time. The models and methods for computing this expectation, however,
openaire +1 more source