Assessment Method of Heavy NC Machine Reliability Based on Bayes Theory

It is difficult to collect the prior information for small-sample machinery products when their reliability is assessed by using Bayes method. In this study, an improved Bayes method with gradient reliability（GR） results as prior information was proposed to solve the problem. A certain type of heavy...

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Bibliographic Details
Published inTransactions of Tianjin University Vol. 22; no. 2; pp. 105 - 109
Main Author 张雷 王太勇 胡占齐
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University 01.04.2016
Subjects
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
先验信息
可靠性模型
可靠性评估方法
数控机床
数控镗铣床
贝叶斯方法
贝叶斯理论
重型
reliability assessment
heavy NC machine
prior information
Bayes method
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Summary:It is difficult to collect the prior information for small-sample machinery products when their reliability is assessed by using Bayes method. In this study, an improved Bayes method with gradient reliability（GR） results as prior information was proposed to solve the problem. A certain type of heavy NC boring and milling machine was considered as the research subject, and its reliability model was established on the basis of its functional and structural characteristics and working principle. According to the stress-intensity interference theory and the reliability model theory, the GR results of the host machine and its key components were obtained. Then the GR results were deemed as prior information to estimate the probabilistic reliability（PR） of the spindle box, the column and the host machine in the present method. The comparative studies demonstrated that the improved Bayes method was applicable in the reliability assessment of heavy NC machine tools.
Bibliography:12-1248/T
heavy NC machine; reliability assessment; Bayes method; prior information
Zhang Lei, Wang Taiyong , Hu Zhanqi （1. Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin 300072, China; 2. Yianjin NC System Engineering Center, Tianjin University, Tianjin 300072, China： 3. College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China）
It is difficult to collect the prior information for small-sample machinery products when their reliability is assessed by using Bayes method. In this study, an improved Bayes method with gradient reliability（GR） results as prior information was proposed to solve the problem. A certain type of heavy NC boring and milling machine was considered as the research subject, and its reliability model was established on the basis of its functional and structural characteristics and working principle. According to the stress-intensity interference theory and the reliability model theory, the GR results of the host machine and its key components were obtained. Then the GR results were deemed as prior information to estimate the probabilistic reliability（PR） of the spindle box, the column and the host machine in the present method. The comparative studies demonstrated that the improved Bayes method was applicable in the reliability assessment of heavy NC machine tools.
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-016-2567-4