Multi-fault detection of systems with bounded uncertainties

Fault detection in linear static models with uncertain parameters is studied. Using a parity space technique, a method based on the bounding approach is proposed. Several types of structured faults may affect a physical system and in this context, two cases are distinguished: i) the structured fault...

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Bibliographic Details
Main Authors: Janati Idrissi, H., Adrot, O., Ragot, J.
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Decision making
Fault detection
Fault diagnosis
Fluctuations
Independent component analysis
Noise robustness
Probability density function
Signal generators
Uncertainty
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Summary:Fault detection in linear static models with uncertain parameters is studied. Using a parity space technique, a method based on the bounding approach is proposed. Several types of structured faults may affect a physical system and in this context, two cases are distinguished: i) the structured fault is a prior identified as a region in the parameter space, by considering the physical knowledge on the studied system. The corresponding procedure is called supervised; ii) the second case corresponds to a fault which has an unknown structure. The corresponding procedure is called unsupervised fault. In this article, a strategy consists first in characterizing various fault structures and then in establishing a fault detection and identification (FDI) procedure by using interval analysis.
DOI:10.1109/CDC.2001.981016