Robust detection of intermittent multiplicative sensor fault

被引：3

作者：

Zhang, Junfeng ^{[1
]}

Christofides, Panagiotis D. ^{[2
,3
]}

He, Xiao ^{[1
]}

Zhao, Yinghong ^{[1
]}

Zhang, Zhihao ^{[2
]}

Zhou, Donghua ^{[1
,4
]}

机构：

[1] Tsinghua Univ, Dept Automat, BNRist, Beijing, Peoples R China

[2] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA USA

[3] Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA USA

[4] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Shandong, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2021年 / 23卷 / 01期

基金：

中国国家自然科学基金;

关键词：

fault detection; intermittent fault (IF); multiplicative sensor fault; stochastic uncertain systems; DIAGNOSIS; OBSERVER; SCHEME; MODEL;

D O I：

10.1002/asjc.2241

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the detection problem of intermittent multiplicative sensor fault is investigated for stochastic uncertain systems. A robust optimal filter is designed according to the criterion of minimum estimation error covariance. Then, based on this, a residual generator is constructed, and the quantitative effect of the fault on it is discussed in detail. After that we design the evaluation function and detection threshold to achieve intermittent fault detection. Our proposed strategy has a recursive form and only includes simple arithmetic operations, thus it is suitable for real-time online applications. Finally, a simulation example is given to demonstrate the effectiveness of the proposed strategy.

引用

页码：463 / 473

页数：11

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