Fault detection and identification using FIRFMS

DOI10.1080/03081070701189440zbMath1124.94018OpenAlexW2060303584MaRDI QIDQ3446589

François E. Cellier, Angela Nebot, Antoni Escobet

Publication date: 19 June 2007

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081070701189440

zbMATH Keywords

fuzzy systemsinductive reasoningwater demandbiomedicinefault monitoring systems

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Fault detection; testing in circuits and networks (94C12)

Related Items (1)

Causal relevance to improve the prediction accuracy of dynamical systems using inductive reasoning

Uses Software

• Dymola

Cites Work

• COMBINED QUALITATIVE/QUANTITATIVE SIMULATION MODELS OF CONTINUOUS-TIME PROCESSES USING FUZZY INDUCTIVE REASONING TECHNIQUES
• Fault detection of systems with redundant sensors using constrained Kohonen networks
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