Early fault detection and on-line diagnosis in real-time environments
This paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc fol...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Norwegian Society of Automatic Control
1993-01-01
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| Series: | Modeling, Identification and Control |
| Subjects: | |
| Online Access: | http://www.mic-journal.no/PDF/1993/MIC-1993-1-2.pdf |
| Summary: | This paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc follow-up diagnosis. The diagnosis task is dramatically simplified because the diagnostic inferences can be performed at the soonest possible time: when the detection module first spots deviations between its calculated reference points and the corresponding measurements from the process. |
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| ISSN: | 0332-7353 1890-1328 |