Discrete time-varying fault detection filter for non-uniformly sampled-data systems  被引量:2

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

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作  者:WAN YiMing WANG Wei YE Hao 

机构地区:[1]Department of Automation,Tsinghua University

出  处:《Science China(Information Sciences)》2014年第3期217-227,共11页中国科学(信息科学)(英文版)

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

摘  要:This paper investigates the fault detection problem for non-uniformly sampled-data systems. No periodic assumption is made for the sampling instants. In contrast to most currently available resuks that are limited to strictly proper systems, measurement noises are considered. With the operators introduced to capture the inter-sampling behaviors of disturbances and faults, an omine fault detection algorithm is first derived to optimize the ratio-type design objective. It is then equivalently transformed into a recursive algorithm consisting of a discrete time-varying fault detection filter and the corresponding residual evaluation function. As 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.This paper investigates the fault detection problem for non-uniformly sampled-data systems. No periodic assumption is made for the sampling instants. In contrast to most currently available resuks that are limited to strictly proper systems, measurement noises are considered. With the operators introduced to capture the inter-sampling behaviors of disturbances and faults, an omine fault detection algorithm is first derived to optimize the ratio-type design objective. It is then equivalently transformed into a recursive algorithm consisting of a discrete time-varying fault detection filter and the corresponding residual evaluation function. As 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.

关 键 词:non-uniformly sampled-data systems fault detection filter optimal design 

分 类 号:TH165.3[机械工程—机械制造及自动化] TN713[电子电信—电路与系统]

 

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