Use of artificial intelligence in severe accident diagnosis for PWRs
Conference
·
OSTI ID:560874
- Univ. of California, Los Angeles, CA (United States)
- Univ. of California, Berkeley, CA (United States)
A combination approach of an expert system and neural networks is used to implement a prototype severe accident diagnostic system which would monitor the progression of the severe accident and provide necessary plant status information to assist the plant staff in accident management during the accident. The station blackout accident in a pressurized water reactor (PWR) is used as the study case. The current phase of research focus is on distinguishing different primary system failure modes and following the accident transient before and up to vessel breach.
- Research Organization:
- California Univ., Los Angeles, CA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Research, Washington, DC (United States)
- DOE Contract Number:
- FG03-92ER75838
- OSTI ID:
- 560874
- Report Number(s):
- CONF-950914--11; ON: DE98000774
- Country of Publication:
- United States
- Language:
- English
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