Reliability of Repairable Valves: Analysis of Failure Times from Chemical Plants

Abstract

The non-homogeneous Poisson process (NHPP) is widely adopted to monitor reliability improvement during system development as well as to model the number of failures for complex systems. The most popular functional forms proposed in the literature to model NHPP intensity functionsare monotonicwith time. However, there are situation in which the use of monotonic intensity functions can be too restrictive.In this paper, a new Non-Homogeneous Poisson Process with a non-monotonic intensity function is presented. The model is tested to formulate the reliability of repairable valves that are used for critical functions in a chemical plant. The analysis isperformed by adopting a real set of time data that were collected during the first operative years of the plant. In general, similar applicative cases arise when a model is needed for the reliability of a complex system/plant in the early phase of the operative life. The model fits well all the analysed failure data sets, each corresponding to a specific type of valve.

Authors and Affiliations

Pasquale Erto, Antonio Lepore

Keywords

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  • EP ID EP391884
  • DOI 10.9790/9622-0707081924.
  • Views 107
  • Downloads 0

How To Cite

Pasquale Erto, Antonio Lepore (2017). Reliability of Repairable Valves: Analysis of Failure Times from Chemical Plants. International Journal of engineering Research and Applications, 7(7), 19-24. https://europub.co.uk./articles/-A-391884