On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems

Author:

Zhang P.1,Ding S. X.1

Affiliation:

1. Institute for Automatic Control and Complex Systems, Faculty of Engineering, University of Duisburg-Essen, Bismarckstrasse 81 BB, Duisburg 47057, Germany

Abstract

This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data systems is reviewed and presented. The focus in this paper is on the robustness and sensitivity issues in designing model-based FD systems.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Reference42 articles.

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault Detection for a Class of Uncertain Sampled-Data Systems Using Deterministic Learning;IEEE Transactions on Cybernetics;2021-12

2. Fault Detection in Linear Time-Varying Systems;Advanced methods for fault diagnosis and fault-tolerant control;2020-11-24

3. Basic Methods for Fault Detection in Dynamic Processes;Advanced methods for fault diagnosis and fault-tolerant control;2020-11-24

4. Introduction;Advanced methods for fault diagnosis and fault-tolerant control;2020-11-24

5. Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks;Engineering Applications of Artificial Intelligence;2019-10

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