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- W4313221847 abstract "Purpose: This study formulates the Bayesian reliability analysis model using type I censored failure data from heterogeneous repairable systems.BRMethods: The failure of products employing varying methods for different usage environments is typically statistically uneven. Consequently, heterogeneity is difficult to reflect as a factor in the proposed model. Heterogeneity causes events to be distributed; hence, it is regarded as a frailty. This study incorporates the foregoing factors into the previous power law model and devises a reliability analysis model that can be updated using periodically collected data by Bayes’ theorem.BRResults: The sensitivity and characteristics of the parameters in the proposed model are confirmed through mathematical simulations. Moreover, two case studies demonstrate the validity of the model.BRConclusion: This study is expected to be utilized as a reference for the long-term analysis of high-value products (such as weapon systems) requiring continual update and tracking reliability throughout their lifecycle." @default.
- W4313221847 created "2023-01-06" @default.
- W4313221847 creator A5054694629 @default.
- W4313221847 date "2022-12-31" @default.
- W4313221847 modified "2023-10-16" @default.
- W4313221847 title "A Study on the Bayesian Reliability Model of Repairable Systems Using Individually Heterogeneous Type I Censored Data" @default.
- W4313221847 doi "https://doi.org/10.33162/jar.2022.12.22.4.325" @default.
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