Application Research of Two Real-Time Fault Diagnostic Methods in the Nuclear Power Plants
Conference
·
OSTI ID:20997014
- Harbin Engineering University, Harbin, HLJ (China)
In order to guarantee the safety of nuclear power plants (NPP), we built two real-time fault diagnosis systems adopting VISUAL BAS6.0 programming language, which apply neural network technology and data fusion technology respectively. The fault diagnosis systems interchange data with the simulator timely utilizing communication interface. We insert faults on simulator to test the two systems on line. The advantages and disadvantages are illuminated and contrasted through analyzing the faults diagnostic results off- line, which establish the foundation for the further research and application to the fault diagnosis system of the nuclear power plants. (authors)
- Research Organization:
- The ASME Foundation, Inc., Three Park Avenue, New York, NY 10016-5990 (United States)
- OSTI ID:
- 20997014
- Resource Relation:
- Conference: 14. International conference on nuclear engineering (ICONE 14), Miami - Florida (United States), 17-20 Jul 2006; Other Information: Country of input: France
- Country of Publication:
- United States
- Language:
- English
Similar Records
Incipient multiple fault diagnosis in real time with applications to large-scale systems
Fault diagnosis and severity estimation in nuclear power plants - 196
Development of Real-Time Quantitative Safety Evaluation Method for Nuclear Power Plants
Journal Article
·
Mon Aug 01 00:00:00 EDT 1994
· IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
·
OSTI ID:20997014
+1 more
Fault diagnosis and severity estimation in nuclear power plants - 196
Conference
·
Thu Jun 15 00:00:00 EDT 2017
·
OSTI ID:20997014
+6 more
Development of Real-Time Quantitative Safety Evaluation Method for Nuclear Power Plants
Journal Article
·
Fri Jul 01 00:00:00 EDT 2016
· Transactions of the American Nuclear Society
·
OSTI ID:20997014