Volume 07,Issue 02

Hierarchical Bayesian Based Reliability Analysis of a Sharing Storage Processor

Authors

Guang-Jun Jiang, Zong-Yuan Li, Hong-Xia Chen, Guan Qiao, Hong-Hua Sun

Abstract
To tackle the actual restrictions of limited data and inaccurate reliability evaluation, a hierarchical Bayesian model and multi-source information fusion joint method is investigated and then implemented to the parameter estimation of failure data as well as reliability analysis of a Sharing Storage Processor (SSP). Firstly, prior information in counting type on the reliability of the SSP is collected. As a basis of the characteristic of the Bayesian information updating, a hierarchical Bayesian framework is established by a combination of the prior information obtained. Then a hierarchical Bayesian model and multi-source information fusion joint method is proposed to accurately estimate the parameters of failure data of the SSPs. The results of this study are validated by a comprehensive comparison among the experts knowledge based technique, conventional Bayesian model, as well as hierarchical Bayesian model by using the collected failure data of SSPs, the results proved the feasibility of implementation of joint method to accurately estimate the parameters of distributions and furtherly to analyze the reliability of products with counting type failure data such as SSPs.

Keyword: Hierarchical Bayesian, Reliability Analysis, Sharing Storage Processor.

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