“Early fault detection and on-line diagnosis in real-time environments”

Authors: Andreas Bye and Eyvind Ness,
Affiliation: Institute for Energy Technology (IFE)
Reference: 1993, Vol 14, No 1, pp. 27-41.

Keywords: Operator support systems, fault detection, fault diagnosis, quantitation modeling, rule-based reasoning

Abstract: 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.

PDF PDF (2455 Kb)        DOI: 10.4173/mic.1993.1.2

DOI forward links to this article:
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  title={{Early fault detection and on-line diagnosis in real-time environments}},
  author={Bye, Andreas and Ness, Eyvind},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}