Abstract
Fault detection is a concern in many industrial applications. Several approaches have been used. One based on a single reference model that describes the expected nominal dynamic of a healthy system around a certain operating point is largely used. The system is considered healthy if its measured signals are around the nominal behavior, a fault is triggered otherwise. The first challenging task is how ot determinine the acceptable deviation margins. But most importantly, such approach may lead to the detection of false failures due to several operational reasons such as a nnatural move from one operating region to another in the operating space, etc. In this study, a multimodel based fault detection, diagnosis, and isolation is considered. The proposed approach has several imprtant features. A combination of several local model types can be used. The approach can be applied to several type of control actuators failures. Experimental application of the proposed approach to control valve failure demonstrate the practicality of the proposed method.
Original language | English |
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Title of host publication | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 151-157 |
Number of pages | 7 |
ISBN (Electronic) | 9781538653050 |
DOIs | |
State | Published - 7 Dec 2018 |
Publication series
Name | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
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Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- constrained Kalman filter
- fault diagnosis
- multimodel
- systems identification
- validity computation
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Control and Optimization
- Instrumentation