Iterative learning based fault diagnosis for discrete linear uncertain systems  

作　　者：Wei Cao Ming Sun 

机构地区：[1]College of Computer and Control Engineering, Qiqihar University

出　　处：《Journal of Systems Engineering and Electronics》2014年第3期496-501,共6页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61100103)

摘　　要：In order to detect and estimate faults in discrete lin-ear time-varying uncertain systems, the discrete iterative learning strategy is applied in fault diagnosis, and a novel fault detection and estimation algorithm is proposed. And the threshold limited technology is adopted in the proposed algorithm. Within the chosen optimal time region, residual signals are used in the proposed algorithm to correct the introduced virtual faults with iterative learning rules, making the virtual faults close to these occurred in practical systems. And the same method is repeated in the rest optimal time regions, thereby reaching the aim of fault diagnosis. The proposed algorithm not only completes fault detection and estimation for discrete linear time-varying uncertain systems, but also improves the reliability of fault detection and decreases the false alarm rate. The final simulation results verify the validity of the proposed algorithm.In order to detect and estimate faults in discrete lin-ear time-varying uncertain systems, the discrete iterative learning strategy is applied in fault diagnosis, and a novel fault detection and estimation algorithm is proposed. And the threshold limited technology is adopted in the proposed algorithm. Within the chosen optimal time region, residual signals are used in the proposed algorithm to correct the introduced virtual faults with iterative learning rules, making the virtual faults close to these occurred in practical systems. And the same method is repeated in the rest optimal time regions, thereby reaching the aim of fault diagnosis. The proposed algorithm not only completes fault detection and estimation for discrete linear time-varying uncertain systems, but also improves the reliability of fault detection and decreases the false alarm rate. The final simulation results verify the validity of the proposed algorithm.

关 键 词：discrete linear uncertain system threshold limited technology iterative learning fault estimation. 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP273.22[自动化与计算机技术—控制科学与工程]