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Title: IGENPRO knowledge-based digital system for process transient diagnostics and management

Conference ·
OSTI ID:570164
; ;  [1]
  1. Argonne National Lab., IL (United States); and others

Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R&D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R&D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Assistant Secretary for Nuclear Energy, Washington, DC (United States)
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
570164
Report Number(s):
ANL/DIS/CP-94403; CONF-9709106-; ON: DE97054215; TRN: 98:003865
Resource Relation:
Conference: International Atomic Energy Agency (IAEA) technical committee meeting on advanced technologies for improving availability and reliability of current and future water cooled nuclear power plants, Argonne, IL (United States), 8-11 Sep 1997; Other Information: PBD: 1997
Country of Publication:
United States
Language:
English