Title
Set-theoretic methods in robust detection and isolation of sensor faults
Abstract
This paper proposes a sensorfault detection and isolation FDI approach based on interval observers and invariant sets. In fault detection FD, both interval observer-based and invariant set-based mechanisms are used to provide real-time fault alarms. In fault isolation FI, the proposed approach also uses these two different mechanisms. The former, based on interval observers, aims to isolate faults during the transient-state operation induced by faults. If the former does not succeed, the latter, based on both interval observers and invariant sets, is started to guarantee FI after the system enters into steady state. Besides, a collection of invariant set-based FDI conditions are established by using all available system-operating information provided by all interval observers. In order to reduce computational complexity, a method to remove all available but redundant/unnecessary system-operating information is incorporated into this approach. If the considered faults satisfy the proposed FDI conditions, it can be guaranteed that they are detectable and isolable after their occurrences. This paper concludes with a case study based on a subsystem of a wind turbine benchmark, which can illustrate the effectiveness of this FDI technique.
Year
DOI
Venue
2015
10.1080/00207721.2014.989293
International Journal of Systems Science
Keywords
Field
DocType
fault detection and isolation,linear systems
Linear system,Control theory,Fault detection and isolation,Invariant (mathematics),Turbine,Steady state,Observer (quantum physics),Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
46
13
0020-7721
Citations 
PageRank 
References 
5
0.54
9
Authors
5
Name
Order
Citations
PageRank
Xu Feng1196.59
Vicenç Puig2559.52
Carlos Ocampo-Martinez39530.35
Sorin Olaru426747.10
Florin Stoican59515.86