On lifetimes in random environments

Crescenzo, Antonio Di; Pellerey, Franco

doi:10.1002/(sici)1520-6750(199806)45:4<365::aid-nav3>3.0.co;2-3

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Cha and Mi provide theoretical results on the stochastic failure model considering a random environment governed by a Poisson shock process. Other results on lifetimes in random environments are provided by Di Crescenzo and Pellerey. Another approach to modelize the environment is proposed by Monroe and Pan, who use reliability acceleration factors that rely on time‐varying temperature–humidity environments.…”

Section: Introductionmentioning

confidence: 99%

Failure Rate Estimation from Field Data under Time‐Varying Stress

Guérineau

Gouno

2012

Quality & Reliability Eng

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A model to assess the failure rate of equipment under use conditions is proposed. This model links noncontrolled variables to a piecewise failure rate combined with a proportional hazard model. Two influential variables are considered. One is the temperature characterizing the outdoor climate, and the other one is moisture-as an intrinsic variable. The maximum likelihood estimates of the model parameters are obtained. The efficiency of the method is evaluated through simulated data. Results on data from the field are provided.

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Section: Introductionmentioning

confidence: 99%

Failure Rate Estimation from Field Data under Time‐Varying Stress

Guérineau

Gouno

2012

Quality & Reliability Eng

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Nonhomogeneous Poisson Processes and Logconcavity

Pellerey

Shaked

Zinn

2000

Prob. Eng. Inf. Sci.

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In this article, we identify conditions under which the epoch times and the interepoch intervals of a nonhomogeneous Poisson process have logconcave densities. The results are extended to relevation counting processes. We also study discrete-time counting processes and find conditions under which the epoch times and the interepoch intervals of these discrete-time processes have logconcave discrete probability densities. The results are interpreted in terms of minimal repair and record values. Several examples illustrate the theory.

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Simulation-assisted estimation of failure models with stochastic hazard rates

Sun

Chen

2011

2011 IEEE International Conference on Industrial Engineering and Engineering Management

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On lifetimes in random environments

Cited by 3 publications

References 10 publications

Failure Rate Estimation from Field Data under Time‐Varying Stress

Failure Rate Estimation from Field Data under Time‐Varying Stress

Nonhomogeneous Poisson Processes and Logconcavity

Simulation-assisted estimation of failure models with stochastic hazard rates

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