Title :
Residual evaluation for fault diagnosis based on adaptive fuzzy thresholds
Author_Institution :
Fachgebiet Mess- und Regelungstech., Gerhard-Mercator Univ., Duisburg, Germany
Abstract :
The goal of residual evaluation for FDI (failure detection and identification) is to decide whether and where a fault has occurred under the condition that wrong decisions causing false alarms are avoided. For residual evaluation, one can use simple threshold logic, statistical decision theory, pattern recognition, fuzzy decision logic or neural networks. In this paper, we focus on the adaptive threshold logic test based upon fuzzy modelling of the process and fuzzy decision making
Keywords :
adaptive systems; decision theory; failure analysis; fault diagnosis; fuzzy logic; threshold logic; adaptive fuzzy thresholds; failure detection; failure identification; false alarms; fault diagnosis; fuzzy decision logic; fuzzy decision making; fuzzy process modelling; neural networks; pattern recognition; residual evaluation; statistical decision theory; threshold logic; wrong decisions;
Conference_Titel :
Qualitative and Quantitative Modelling Methods for Fault Diagnosis, IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19950512