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Fault Detection and Diagnosis Methods in the Absence of Process Model

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Real Time Fault Monitoring of Industrial Processes

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Abstract

Malfunctions of industrial plant equipment and instrumentation increase the operating costs of any plant. Even more serious are the consequences of a gross accident, because of faulty plant operation. A fault may be defined as an abnormal change in the characteristics of a system which gives rise to undesirable performance. The fault may be an actual malfunction or perhaps only a change in an operating parameter related with the structure of the system. Complete malfunction (failure) of equipment is usually relatively easy to detect, but when failure has occurred, considerable damage may have taken place. Therefore, it is desirable for an equipment monitoring system to be able to identify faults of small extent or latent malfunctions, in order to predict a later significant degradation or to locate failures which can very rapidly grow to catastrophic event.

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Authors and Affiliations

  1. Department of Production Engineering and Management, Technical University of Crete, Chania, Greece

    A. D. Pouliezos

  2. Electronic Engineering and Computer Science Department, Technical University of Crete, Chania, Greece

    G. S. Stavrakakis

Authors
  1. A. D. Pouliezos
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  2. G. S. Stavrakakis
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© 1994 Springer Science+Business Media Dordrecht

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Pouliezos, A.D., Stavrakakis, G.S. (1994). Fault Detection and Diagnosis Methods in the Absence of Process Model. In: Real Time Fault Monitoring of Industrial Processes. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8300-8_1

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  • DOI: https://doi.org/10.1007/978-94-015-8300-8_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4374-0

  • Online ISBN: 978-94-015-8300-8

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