A fuzzy approach to fault diagnosis in the presence of sensor bias

A fuzzy approach to fault diagnosis in the presence of sensor bias

Describes a fuzzy approach for rule-based fault diagnosis in the presence of sensor bias. The causes of sensor bias and its effect on fault diagnosis schemes are presented. The consequences of assuming that the bias is uniform and varying are compared and contrasted. A fuzzy model-based fault diagno...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Pui Shan Lee, Dexter, A.L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Fault diagnosis
Mathematical model
Measurement uncertainty
Position measurement
Redundancy
Sensor phenomena and characterization
Sensor systems
Temperature measurement
Temperature sensors
Training data
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Beschreibung
Zusammenfassung:Describes a fuzzy approach for rule-based fault diagnosis in the presence of sensor bias. The causes of sensor bias and its effect on fault diagnosis schemes are presented. The consequences of assuming that the bias is uniform and varying are compared and contrasted. A fuzzy model-based fault diagnosis scheme is modified to take account of varying sensor bias. The proposed scheme is applied to an air-conditioning system. Results are presented that show that better diagnostic results are obtained than when a constant worst-case value of the bias is assumed.
DOI:10.1109/FUZZ.2001.1008967