华中科技大学学报（自然科学版）2016，Vol.44Issue(12)：102-108,7.DOI:10.13245/j.hust.161218
非线性系统故障可诊断性量化评价及诊断方法
Fault diagnosability quantitative evaluation and method of fault diagnosis for nonlinear system
摘要
Abstract
Method for quantitative evaluation of fault diagnosability and fault detection based on Kull-back-Leibler (K-L) divergence approach were designed .Only on the basis of analytical model ,the system does not depend on the selection of fault diagnosis algorithm for fault diagnosability evalua-tion ,thus at the design stage ,which can improve the ability to provide theoretical basis for fault diag-nosis .First of all ,with the K-L divergence method as the foundation ,the nonlinear system fault can be quantitative evaluation by introducing the Monte Carlo method ,and a sparse kernel density method is proposed to overcome the difficulty of estimating the probability density function of the residual probability density function in the calculation of K-L divergence .Secondly ,on the basis of the fault can be detected ,by calculating the distance discrepancy of K-L divergence ,the fault detection can be achieved in nonlinear system ,then ,the false alarm ratio and miss alarm ratio can be analyzed for fault detection .Finally ,the accuracy and validity of the method can be verified through simulation experi-ments .关键词
故障可诊断性/非线性系统/量化评价/Kullback-Leibler散度/故障检测Key words
fault diagnosability/nonlinear system/quantitative evaluation/Kullback-Leibler diver-gence/fault detection分类
信息技术与安全科学引用本文复制引用
蒋栋年,李炜,王君..非线性系统故障可诊断性量化评价及诊断方法[J].华中科技大学学报（自然科学版）,2016,44(12):102-108,7.基金项目
国家自然科学基金资助项目 (61364011 , 61463030 ) （61364011 , 61463030 ）
甘肃省自然科学基金青年基金资助项目(1506RJYA108) （1506RJYA108）
甘肃省先进控制重点实验室开放基金资助项目 (XJK201505) . （XJK201505）
