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Simulation of a non-stationary gamma wear process

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  • Anil Rana

Abstract

All mechanical components suffer from monotonically increasing wear/deterioration. A non-stationary gamma wear process can model such a wear by taking care of the temporal variability in the wear phenomenon; however, this makes the shape parameter of the gamma process a function of time leading to a problem in its simulation, especially so in the presence of other competing failure modes. This paper presents a method by which one can map a non-stationary gamma wear process to a mixed exponential process and demonstrate its suitability for analysis through a simulation package involving use of stochastic petrinets. A stochastic petrinet simulation package 'Timenet' compares the result of the above method with the analytically determined result through a Matlab program. The originality of the paper lies in demonstration of a method for analysis of a non-stationary gamma wear process through a simulation package.

Suggested Citation

  • Anil Rana, 2017. "Simulation of a non-stationary gamma wear process," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 11(1/2), pages 50-62.
    • Handle: RePEc:ids:ijrsaf:v:11:y:2017:i:1/2:p:50-62
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    Cited by:

    1. Hadri, Omar & Prescott, Darren, 2024. "Modular asset management framework based on Petri-net formalisations and risk-aware maintenance," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

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