Actuator fault diagnosis with robustness to sensor distortion
type: Item
instance of: scholarly article
title: Actuator fault diagnosis with robustness to sensor distortion
zbMATH Open document ID: 1229.93068
DOI: 10.1155/2008/723292
published in: Journal of Control Science and Engineering
publication date: 2010-07-22T00:00:00Z
review text: Summary: Actuator fault diagnosis is often studied under strong assumptions on available sensors. Typically, it is assumed that the sensors are either fault free or sufficiently redundant. The purpose of this paper is to present a new method for actuator fault diagnosis which is robust to sensor distortion. It does not require sensor redundancy to compensate sensor distortion. The essential assumption is that sensor distortions are strictly monotonous. Despite the nonlinear and unknown nature of distortions, such sensors still provide useful information for fault diagnosis. The robustness of the presented diagnosis method is analyzed, as well as its ability to detect actuator faults. A numerical example is provided to illustrate its efficiency.
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93B35
zbMATH DE Number: 5759207
author: Qing-Hua Zhang
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2008/723292
OpenAlex ID: W2014885802
Wikidata QID: Q58645481
cites work: Q4231134
cites work: Failure detection and identification
cites work: A geometric approach to nonlinear fault detection and isolation
cites work: Q4874512
cites work: Q4296156
description: scientific article; zbMATH DE number 5759207