Full Content is available to subscribers

Subscribe/Learn More  >

Operational Reliability Improvement of Plants Through Intelligent Fault Detection and Diagnosis

[+] Author Affiliations
E. Ricky Odoom

SRAM.FUZ Corporation, St. Catherines, Ontario, Canada

Paper No. IJPGC2003-40052, pp. 253-260; 8 pages
  • International Joint Power Generation Conference collocated with TurboExpo 2003
  • 2003 International Joint Power Generation Conference
  • Atlanta, Georgia, USA, June 16–19, 2003
  • Conference Sponsors: Power Division
  • ISBN: 0-7918-3692-4 | eISBN: 0-7918-3677-0
  • Copyright © 2003 by ASME


Real-time Fault Detection and Diagnosis of modern dynamic process plants are continuously receiving increasing attention both theoretically and practically. In recent years, attempts have been made to apply Artificial Intelligence techniques to the Fault Detection Diagnosis task for improving the operational reliability of complex dynamic plants. The aim of this paper is to discuss the basic concepts, issues and tools of some of the emerging intelligence technologies for Fault Detection and Diagnosis schemes. The emphasis is given to the methods, which are based on Artificial Intelligent systems and which are appropriate for diagnosing faults in complex dynamic plants.

Copyright © 2003 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In