DocumentCode :
2670236
Title :
Multi-sensor fault detection and diagnosis using combined qualitative and quantitative techniques
Author :
Gao, Yang ; Durrant-Whyte, Hugh F.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
43
Lastpage :
50
Abstract :
This paper describes a fault detection and diagnosis technique for multisensor data fusion systems with an application to process plant monitoring. In particular this work concentrates on three aspects: 1) how the qualitative reasoning techniques are combined with conventional numerical sensor fusion techniques is investigated and a method of developing a combined semi-quantitative model is introduced; 2) how the semi-quantitative information is analysed to perform the system monitoring and fault detection is discussed; and 3) the implementation of the diagnosis using fault model free methodology is introduced. A constraint violation based approach is described. The application of the algorithms developed is demonstrated through a number of examples, based on real data
Keywords :
common-sense reasoning; fault diagnosis; monitoring; sensor fusion; system monitoring; constraint violation; fault diagnosis; fault model; multi-sensor fault detection; multisensor data fusion systems; qualitative reasoning; semi-quantitative information; system monitoring; Fault detection; Fault diagnosis; Inference algorithms; Monitoring; Numerical models; Power system modeling; Predictive models; Sensor fusion; Thermal sensors; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-2072-7
Type :
conf
DOI :
10.1109/MFI.1994.398474
Filename :
398474
Link To Document :
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