SWT and Parity Space Based Fault Detection for Linear Discrete Time-varying Systems

被引：0
|
作者：
Xue T. [1 ]
Zhong M.-Y. [2 ]
机构：
[1] School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing
[2] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao
来源：
Zhong, Mai-Ying (myzhong@buaa.edu.cn) | 1920年 / Science Press卷 / 43期
基金：
中国国家自然科学基金;
关键词：
Fault detection; Linear discrete time-varying (LDTV) systems; Parity space; Stationary wavelet transform (SWT);
D O I：
10.16383/j.aas.2017.c160479
中图分类号：
学科分类号：
摘要：
This paper deals with fault detection (FD) for linear discrete time-varying (LDTV) systems by combining stationary wavelet transform (SWT) with parity space based method, so as to improve the FD performance. By employing SWT to filter the residual generated with low order parity relation, the design of residual generator can be formulated as multi-objective optimization problem at each scale of SWT, so that minimum ratio criterion of robustness to unknown input and sensitivity to faults are assured, and a bank of multi-scale residuals are obtained by applying the SWT recursive algorithm. Moreover, by analysing the generated residual signals at multiscale, the faults within a broader frequency band can be detected and a lower miss detection rate can be achieved. Finally, a numerical example is given to verify the effectiveness of the proposed approach. Copyright © 2017 Acta Automatica Sinica. All rights reserved.
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页码：1920 / 1930
页数：10
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