Reliability computation under dynamic stress-strength modeling with cumulative stress and strength degradation

• Published in: Communications in statistics. Simulation and computation Vol. 46; no. 4; pp. 2701 - 2713
• Main Authors: Bhuyan, Prajamitra, Dewanji, Anup
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 21.04.2017; Taylor & Francis Ltd
• Subjects: 62 Statistics, 62Nxx Survival analysis and censored data; Compound distribution; Gamma bridge sampling; Gamma process; Inversion theorem; Methods; Point process; Random strength degradation; Simulation; Simulation method; Survival analysis
• ISSN: 0361-0918; 1532-4141
• DOI: 10.1080/03610918.2015.1057288

Reliability function is defined under suitable assumptions for dynamic stress-strength scenarios where strength degrades and stress accumulates over time. Methods for numerical evaluation of reliability are suggested under deterministic strength degradation and cumulative damage due to shocks arriving according to a point process, in particular a Poisson process, using simulation method and inversion theorem. These methods are specifically useful in the scenarios where damage distributions do not possess closure property under convolution. The method is also extended for non-identical, dependent damage distributions as well as for random strength degradation. Results from inversion method is compared with known approximate methods and also verified by simulation. As it turns out, the simulation method seems to have an edge in terms of computational burden and has much wider domain of applicability.