دانلود رایگان مقاله انگلیسی کاربرد شبکه های بیزی در ارزیابی قابلیت اطمینان - IEEE 2018

Abstract

The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inference and is increasingly used in the field of reliability evaluation. This paper presents a bibliographic review of BNs that have been proposed for reliability evaluation in the last decades. Studies are classified from the perspective of the objects of reliability evaluation, i.e., hardware, structures, software, and humans. For each classification, the construction and validation of a BN-based reliability model are emphasized. The general procedural steps for BN-based reliability evaluation, including BN structure modeling, BN parameter modeling, BN inference, and model verification and validation, are investigated. Current gaps and challenges in reliability evaluation with BNs are explored, and a few upcoming research directions that are of interest to reliability researchers are identified.

V. CONCLUSION

Since the introduction of BNs by Pearl in the early 1980s, their application in reliability engineering has been widely researched and obtained favorable achievements. This work provides a literature review of BN-based reliability evaluation methodologies from the perspective of the objects of evaluation, focusing on the general procedure of reliability modeling with BNs. For each evaluated object (i.e., hardware, structures, software, and humans), the various methods for each procedural step (i.e., BN structure modeling, BN parameter modeling, BN inference, and model verification and validation) are reviewed and analyzed in detail. The potential problems and current gaps in applying BNs to reliability evaluation are discussed, and upcoming research directions that are of interest to reliability researchers are presented. We hope that the current paper can provide researchers and practitioners a helpful guide for BN-based reliability evaluation methodology with BNs.