A first-principles generic methodology for representing the knowledge base of a process diagnostic expert system
In this paper we present a methodology for identifying faulty component candidates of process malfunctions through basic physical principles of conservation, functional classification of components and information from the process schematics. The basic principles of macroscopic balance of mass, momentum and energy in thermal hydraulic control volumes are applied in a novel approach to incorporate deep knowledge into the knowledge base. Additional deep knowledge is incorporated through the functional classification of process components according to their influence in disturbing the macroscopic balance equations. Information from the process schematics is applied to identify the faulty component candidates after the type of imbalance in the control volumes is matched against the functional classification of the components. Except for the information from the process schematics, this approach is completely general and independent of the process under consideration. The use of basic first-principles, which are physically correct, and the process-independent architecture of the diagnosis procedure allow for the verification and validation of the system. A prototype process diagnosis expert system is developed and a test problem is presented to identify faulty component candidates in the presence of a single failure in a hypothetical balance of plant of a liquid metal nuclear reactor plant.
- Research Organization:
- Argonne National Lab., IL (USA)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (USA)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 6133436
- Report Number(s):
- CONF-910648-1; ON: DE90017693; TRN: 91-010539
- Resource Relation:
- Conference: 4. international conference on industrial and engineering applications of artificial intelligence and expert systems, Kauai, HI (USA), 2-5 Jun 1991
- Country of Publication:
- United States
- Language:
- English
Similar Records
System diagnostics using qualitative analysis and component functional classification
Systematic construction of qualitative physics-based rules for process diagnostics
Related Subjects
22 GENERAL STUDIES OF NUCLEAR REACTORS
LIQUID METAL COOLED REACTORS
EXPERT SYSTEMS
DIAGNOSTIC TECHNIQUES
KNOWLEDGE BASE
REACTORS
990200* - Mathematics & Computers
220200 - Nuclear Reactor Technology- Components & Accessories