Title :
Modeling repairable systems with failure rates that depend on age and maintenance
Author :
Chan, Jack-Kang ; Shaw, Leonard
Author_Institution :
Norden Syst. United Technol., Melville, NY, USA
fDate :
12/1/1993 12:00:00 AM
Abstract :
A general repairable system model that includes age and preventive maintenance (PM) dependent failure rates is proposed. This model introduces the concept of system availability as a random variable, leading to availability measures for individual realizations, rather than for the average over many trials. Thus this model generalizes the classical definition, and serves as a performance index for system design. A design scheme suggested to maximize the probability of achieving a specified stochastic cycle availability with respect to the duration of the operating interval between PMs. Numerical computations of the results for Weibull-like distributions illustrate the design criteria. Asymptotic behavior of the performance with no PM has been studied. Extension to other distributions is straightforward
Keywords :
failure analysis; maintenance engineering; probability; reliability; Weibull-like distributions; age; availability; failure rates; operating interval; performance index; preventive maintenance; probability; repairable system model; stochastic cycle; system design; Availability; Delay; Distributed computing; Performance analysis; Preventive maintenance; Random variables; Reliability theory; Steady-state; Stochastic systems; Weibull distribution;
Journal_Title :
Reliability, IEEE Transactions on