Reliability Analysis of Passive System Based on PSO Optimized Neural Network Response Surface Method

Ding Hao; Cai Qi; Zhang Yongfa; Jiang Lizhi; Wei ke

doi:10.13832/j.jnpe.2018.04.0101

Volume 39 Issue 4

Aug. 2018

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Ding Hao, Cai Qi, Zhang Yongfa, Jiang Lizhi, Wei ke. Reliability Analysis of Passive System Based on PSO Optimized Neural Network Response Surface Method[J]. Nuclear Power Engineering, 2018, 39(4): 101-106. doi: 10.13832/j.jnpe.2018.04.0101

Citation:

Ding Hao, Cai Qi, Zhang Yongfa, Jiang Lizhi, Wei ke. Reliability Analysis of Passive System Based on PSO Optimized Neural Network Response Surface Method[J]. Nuclear Power Engineering, 2018, 39(4): 101-106. doi: 10.13832/j.jnpe.2018.04.0101

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Reliability Analysis of Passive System Based on PSO Optimized Neural Network Response Surface Method

doi: 10.13832/j.jnpe.2018.04.0101

Department of Nuclear Science and Engineering, Naval University of Engineering, Wuhan, 430033, China

Received Date: 2017-06-26
Rev Recd Date: 2017-10-30

Abstract

Abstract

On the basis of reliability analysis mathematical model, combined with the operating data from an experimental facility and improved thermal-hydraulic codes, the uncertainty of input parameters is identified. Compared with the accuracy and the goodness of different Neural Network Response Surface methods, the one optimized with PSO is analyzed by classification accuracy. The results show that PSO response surface has relatively better fitting performance and can evaluate the reliability of the passive system accurately.
- Passive system,
- Response surface,
- Neural Network,
- PSO