Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment


We have a tendency to extend a multi-state physics model (MSPM) framework for component reliability assessment by including semi-Markov and random shock processes. Two mutually exclusive varieties of random shocks are thought-about: extreme, and cumulative. Extreme shocks lead the component to immediate failure, whereas cumulative shocks simply affect the element degradation rates. General dependences between the degradation and also the two sorts of random shocks are thought-about. A Monte Carlo simulation algorithm is implemented to compute part state chances. An illustrative example is presented, and a sensitivity analysis is conducted on the model parameters. The results show that our extended model is in a position to characterize the influences of different sorts of random shocks onto the component state chances and the reliability estimates.

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