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Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
- Source :
- Science and Technology of Nuclear Installations, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- NPP’s power supply system is repairable and there is common cause failure between the components. The repair rate is introduced and total signaling is considered in the improved GO-FLOW method, aimed at reliability analysis for NPP’s power supply system. Traditional GO-FLOW operators’ algorithms are improved. Comprehensively considering the effect of total signaling flow in the power supply system, the equivalent reliability parameter model and common cause failure probability model of multimodal repairable components are constructed. The improved GO-FLOW model of NPP’s power supply system is set up. Based on the proposed model, components’ reliability parameters are computed. The failure probability time-varying trend in thirty years, respectively, of NPP’s offsite power source and power supply system, is simulated and analyzed. Compared with calculation results of dynamic fault tree analysis method, the validity and the simplicity of the improved GO-FLOW method are verified. The effectiveness and applicability of the improved GO-FLOW model for NPP’s power supply system are proved by simulation examples.
- Subjects :
- Fault tree analysis
Engineering
Article Subject
business.industry
020209 energy
Flow (psychology)
Failure probability
Flow method
02 engineering and technology
Repair rate
Probability model
Reliability engineering
Power (physics)
Nuclear Energy and Engineering
0202 electrical engineering, electronic engineering, information engineering
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Reliability (statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 16876083 and 16876075
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Science and Technology of Nuclear Installations
- Accession number :
- edsair.doi.dedup.....279265205993705ea7f30f23e1fd41e9