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PISCES: an expert system for coal fired power plant monitoring and diagnostics

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IEA/AIE '88: Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1

Pages 87 - 93

https://doi.org/10.1145/51909.51921

Published: 03 June 1988 Publication History

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Abstract

Economics and safety are two of the primary factors that influence the efficient operation of today's complicated power plants. The use of a computer expert system to assist in automatic plant system surveillance and diagnostics can reduce the operation cost and provide a greater degree of safety and system reliability. In our expert system, called PISCES (Plant Intelligent Supervisory Control System), plant engineers' experience and technical knowledge are represented symbolically and employed in diagnosing problems automatically and in providing assistance to inexperienced engineers, technicians, or operators who perform duties in the absence of an experienced plant engineer.

The knowledge base of PISCES was developed using the MHD power plant which employs the Department of Energy's (DOE) coal fired flow facility at the University of Tennessee Space Institute. PISCES is a ruled-based system whose efficiency has been enhanced by the use of several research tools developed at our laboratory. The indexing of rules saves a lot of processing time which other rulebased systems waste in searching for proper rules. The PISCES's control strategy dynamically generates, processes and verifies hypotheses. The diagnostic results are displayed to operators, and explanations are provided on request. This paper describes the mechanism and functionality of the automatic diagnosis performed by PISCES.

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Nunes IJannach D(2017)A systematic review and taxonomy of explanations in decision support and recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-017-9195-027:3-5(393-444)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11257-017-9195-0
ALI MCRAWFORD R(2013)Rocket engine control and monitoring expert system24th Joint Propulsion Conference10.2514/6.1988-3212Online publication date: 19-Feb-2013
https://doi.org/10.2514/6.1988-3212
Washington EAli M(1989)An object-oriented expert system for coal-fired MHD power plant fault monitoring and diagnosisProceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 110.1145/66617.66636(146-153)Online publication date: 6-Jun-1989
https://dl.acm.org/doi/10.1145/66617.66636

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PISCES: an expert system for coal fired power plant monitoring and diagnostics

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IEA/AIE '88: Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1

June 1988

636 pages

ISBN:0897912713

DOI:10.1145/51909

Editor:
Moonis Ali
Univ. of Tennessee Space Institute, Tullahoma, TN

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 03 June 1988

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SIGAI

IEA/AIE88: 1st International Conference on Idustrial and Engineer Application of Art. Intell & Expert Sys.

June 1 - 3, 1988

Tennessee, Tullahoma, USA

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Nunes IJannach D(2017)A systematic review and taxonomy of explanations in decision support and recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-017-9195-027:3-5(393-444)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11257-017-9195-0
ALI MCRAWFORD R(2013)Rocket engine control and monitoring expert system24th Joint Propulsion Conference10.2514/6.1988-3212Online publication date: 19-Feb-2013
https://doi.org/10.2514/6.1988-3212
Washington EAli M(1989)An object-oriented expert system for coal-fired MHD power plant fault monitoring and diagnosisProceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 110.1145/66617.66636(146-153)Online publication date: 6-Jun-1989
https://dl.acm.org/doi/10.1145/66617.66636

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An object-oriented expert system for coal-fired MHD power plant fault monitoring and diagnosis

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An object-oriented expert system for coal-fired MHD power plant fault monitoring and diagnosis

Knowledge engineering problems during expert system development

JESS Based Expert System Architecture for Diagnosis of Rice Plant Diseases: Design and Prototype Development

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