Title
Fault Detection for Systems With Model Uncertainty and Disturbance via Coprime Factorization and Gap Metric
Abstract
The fault detection (FD) problem for systems with both model uncertainty and external disturbance is investigated in this article. First, the mathematical models of systems with model uncertainty and disturbance, systems with additive faults, and systems with multiplicative faults are established with both left and right coprime factorization. Then, an observer-based FD scheme is proposed and the FD thresholds are derived for both open-loop and closed-loop manners. The necessary conditions on multiplicative FD are obtained and the fault detectability analyses are carried out with the aid of the gap metric technique. Finally, the effectiveness of the proposed method is illustrated by a case study on a cart dynamic system.
Year
DOI
Venue
2022
10.1109/TCYB.2021.3051368
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Additive fault,closed-loop system,external disturbance,fault detection (FD),gap metric,model uncertainty,multiplicative fault
Journal
52
Issue
ISSN
Citations 
8
2168-2267
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Yanfeng Wang100.68
Ping He200.68
Peng Shi315816704.36
Huiyan Zhang400.68