Availability of periodically inspected systems subject to Markovian degradation
By Peter C. Kiessler, G. Klutke, Yoonjung Yang. Journal of Applied Probability, 2002
56 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Safety, Risk, Reliability and Quality, Software
View Paper: https://www.semanticscholar.org/paper/409c2f7f50487ac51464c92e12fd1d6d8866503c
How researchers see this paper
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In Management Science and Operations Research
In Safety, Risk, Reliability and Quality
- Dustin G. Mixon
- Jeffrey P. Kharoufeh
- Mehmet Yasin Ulukus
- Christopher J. Solo
- Daniel E. Finkelstein
- Maurizio Guida
- Massimiliano Giorgio
- Gianpaolo Pulcini
In Software
Citations in the corpus
- Availability of periodically inspected systems with Markovian wear and shocks (2006, methodology): “Using our main results, and exploiting the Markov regenerative nature of the system, we compute the limiting average availability of the system under a periodic inspection policy using the results of [6].”
- Semi-Markov models for degradation-based reliability (2010, methodology): “Kiessler et al. (2002) investigated the limiting average availability of a system whose time-varying wear rates are governed by a continuous-time Markov chain.”
- On a Markov‐modulated shock and wear process (2009, methodology): “[15] extended the model of [16] by including damage-inducing shocks that arrive according to a time-homogeneous Poisson process and deriving the Laplace-Stieltjes transforms of a few transient reliability indices.”