Discrete time-varying fault detection filter for non-uniformly sampled-data systems

作     者：WAN YiMing WANG Wei YE Hao 

作者机构：Department of AutomationTsinghua University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2014年第57卷第3期

页      面：222-232页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：supported by National Natural Science Foundation of China(Grant Nos.60974059 60736026 61021063) 

主　　题：non-uniformly sampled-data systems fault detection filter optimal design 

摘      要：This paper investigates the fault detection problem for non-uniformly sampled-data *** periodic assumption is made for the sampling *** contrast to most currently available results that are limited to strictly proper systems,measurement noises are *** the operators introduced to capture the inter-sampling behaviors of disturbances and faults,an ofine fault detection algorithm is first derived to optimize the ratio-type design *** is then equivalently transformed into a recursive algorithm consisting of a discrete time-varying fault detection filter and the corresponding residual evaluation *** repeated computation of the parity vectors is avoided,the proposed fault detection filter can help reduce the online computational burden with comparison to the existing parity relation based fault detection method.