Cooperative research and development for artificial intelligence based reactor diagnostic system

Conference · Sat Oct 01 00:00:00 EDT 1994

OSTI ID:10189193

Reifman, J; Wei, T Y.C. ^[1]; Abboud, R G ^[2]; Chasensky, T M ^[3]

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1. Argonne National Lab., IL (United States)
2. Commonwealth Research Corp., Chicago, IL (United States)
3. Commonwealth Edison Co., Braidwood, IL (United States)

Artificial Intelligence (AI) techniques in the form of knowledge-based Expert Systems (ESs) have been proposed to provide on-line decision-making support for plant operators during both normal and emergency conditions. However, in spite of the great interest in these advanced techniques, their application in the diagnosis of large-scale processes has not yet reached its full potential because of limitations of the knowledge base. These limitations include problems with knowledge acquisition and the use of an event-oriented approach for process diagnosis. To investigate the capabilities of this two-level hierarchical knowledge structure, Commonwealth Research Corporation (CRC) and Argonne National Laboratory (ANL)are collaborating on a DOE-sponsored Cooperative Research and Development Agreement (CRADA) project to perform feasibility studies on the proposed diagnostic system. Investigations are being performed in the construction of a physics-based plant level process diagnostic ES and the characterization of component-level fault project is to develop a computer-based system using this Al approach to assist process plant operators during off-normal plant conditions. The proposed computer-based system will use T-H signals complemented by other non-T-H signals available in the data stream to provide the process operator with the component which most likely caused the observed process disturbance. To demonstrate the scale-up feasibility of the proposed diagnostic system it is being developed for use with the Chemical Volume Control System (CVCS) of a nuclear power plant. This is an ongoing multi-year project and the remainder of this paper presents a mid-term status report.

• Research Organization: Argonne National Lab., IL (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-31109-ENG-38
• OSTI ID: 10189193
• Report Number(s): ANL/RE/CP-80730; CONF-940445-8; ON: DE95001430; TRN: 94:021160
• Resource Relation: Conference: 56. annual American power conference,Chicago, IL (United States),25-27 Apr 1994; Other Information: PBD: [1994]
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
REACTOR MONITORING SYSTEMS
EXPERT SYSTEMS
NUCLEAR POWER PLANTS
DIAGNOSTIC TECHNIQUES
REACTOR OPERATORS
DECISION MAKING
COORDINATED RESEARCH PROGRAMS
KNOWLEDGE BASE
REACTOR SIMULATORS
220400
990200
CONTROL SYSTEMS
MATHEMATICS AND COMPUTERS