Bayesian Networks Application in Multi-State System Reliability Analysis

Abstract:

Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2590-2595
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2590
• Online since: August 2013
• Authors: Sheng Zhai, Shu Zhong Lin
• Keywords: Bayesian Network (BN), Modeling, Multi-State, Reasoning, System Reliability

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