A New Method of Real-Time Reliability Assessment Based on SVR and Bayes Algorithms
Real-time reliability assessment methods make it possible to asset system reliability on-line,which promote the development of the reliability research.A new method of realtime reliability assessment based on support vector regression (SVR) and Bayes is put forward in this paper.Firstly,principles of SVR and Bayes methods are particularly introduced,and then a model of real-time reliability assessment is set up.Finally,based on a selected degradation parameter—Small flow at high temperature (SFHT) of a hydraulic pump under experimental testing,process of real-time reliability assessment are successfully achieved,result shows that the model of real-time reliability assessment is effective.This method combines the realtime sample information with historical information,which is a good method for the real-time reliability assessment.
reliability real-time assessment SVR bayes performance degradation
Fuzhou Feng Guoqiang Rao Guangping Wu Guanqiu Wang
Department of Mechanical Engineering Academy of Armored Force Engineering Beijing, China Unit 73911 of PLA Nanjing, China
国际会议
成都
英文
616-620
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）