Joint probability inference algorithms of a Bayesian network and reliability analysis of electronic products. (2016)

• Record Type: Journal Article
• Authors: Zhang, Rui-Jun; Yang, Wei-wei; He, Qin; Wang, Xiao-wei
• Is Part Of: International journal of industrial and systems engineering. Volume 24:Number 1(2016)
• Page Start: 126
• Page End: 136
• Publication Date: 2016
• Subjects: joint probability -- bucket elimination method -- electronic products -- reliability analysis -- Bayesian networks -- inference algorithms -- reliability strategies -- maintenance strategies; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

Abstract

Considering the tedious and complex problem of solving joint probability with the bucket elimination algorithm, a parallel joint probability inference algorithm was proposed. The logical relation was analysed among each node variable and the inverse order method of the bucket elimination was used to introduce the mathematical expressions of joint probability and calculate the probabilities of one or more node failures when the network fails. The method is applied into the example of reliable analysis of electronic products and is demonstrated the simplicity and effectiveness of the method in the process of two-way Bayesian network inference. The results can be used to identify the weak links of electronic products and also provide a theoretical basis for reliability and maintenance strategies for electronic products.