Title :
Fuzzy neural network based diagnostic system application for three-tank system
Author :
Syfert, M. ; Koscielny, J.M.
Author_Institution :
Inst. of Autom. Control & Robot., Warsaw Univ. of Technol., Warsaw, Poland
Abstract :
The paper presents the idea of fault detection and isolation (FDI) system based on fuzzy neural network (FNN). One proposed utilisation of the FNN both to modelling for fault detection purposes and to fuzzy residual evaluation and fault isolation performed on the grounds of symptoms-faults relation. Properties of the diagnostic system with considered structured are illustrated on the example of three-tank system (TTS).
Keywords :
fault diagnosis; fuzzy control; neurocontrollers; nonlinear control systems; FDI system; FNN; TTS; fault detection and isolation system; fuzzy neural network; three-tank system; Europe; Pattern recognition; Case Studies and Implementation; Neuro-Fuzzy Systems; Quantitative and Qualitative Methods of Fault Diagnosis;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
