Fault Diagnosis of Satellite Power System Using Variable Precision Fuzzy Neighborhood Rough Set

作     者：Mingliang Suo Monan Zhang Ding Zhou Baolong Zhu Shunli Li 

作者单位：Harbin Institute of Technology 

会议名称：《第36届中国控制会议》

会议届次：36

主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)

会议日期：2017年

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National High Technology Research and Development Program of China under Grant No.2015AA***2016 

关 键 词：Fault Diagnosis Neighborhood Rough Set Fuzzy Theory Rule Acquisition Data-driven Satellite 

摘      要：Data-driven fault diagnosis,known to be simple and convenient,is more suitable for diagnosing the complicated systems of ***,there are two main bottlenecks of data-driven fault diagnosis methods:rule acquisition and decision *** the rough set theory can solve above issues well,the obtained rules seem to be more crisp and the diagnosis decisions are not enough ***,we propose a diagnosis approach based on variable precision fuzzy neighborhood rough set（VPFNRS） model,which could extract fuzzy rules from hybrid data with noises and make fuzzy diagnosis results based on the extracted fuzzy rule model and the weights of condition ***,we present a VPFNRS model based on neighborhood rough set,and then the theories of fuzzy rule acquisition and decision making are ***,the successful applications in satellite power system verify the feasibility and correctness of the proposed approach.