An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant
To assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodology should be available and used. A reliable fault diagnosis method is beneficial for the safety of nuclear power plants. The major idea proposed in this work is integrating the merits of diff...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-04-01
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| Series: | Nuclear Engineering and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573317303091 |
| _version_ | 1811194311596834816 |
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| author | Min-jun Peng Hang Wang Shan-shan Chen Geng-lei Xia Yong-kuo Liu Xu Yang Abiodun Ayodeji |
| author_facet | Min-jun Peng Hang Wang Shan-shan Chen Geng-lei Xia Yong-kuo Liu Xu Yang Abiodun Ayodeji |
| author_sort | Min-jun Peng |
| collection | DOAJ |
| description | To assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodology should be available and used. A reliable fault diagnosis method is beneficial for the safety of nuclear power plants. The major idea proposed in this work is integrating the merits of different fault diagnosis methodologies to offset their obvious disadvantages and enhance the accuracy and credibility of on-line fault diagnosis. This methodology uses the principle component analysis-based model and multi-flow model to diagnose fault type. To ensure the accuracy of results from the multi-flow model, a mechanical simulation model is implemented to do the quantitative calculation. More significantly, mechanism simulation is implemented to provide training data with fault signatures. Furthermore, one of the distance formulas in similarity measurement—Mahalanobis distance—is applied for on-line failure degree evaluation. The performance of this methodology was evaluated by applying it to the reactor coolant system of a pressurized water reactor. The results of simulation analysis show the effectiveness and accuracy of this methodology, leading to better confidence of it being integrated as a part of the computerized operator support system to assist operators in decision-making. Keywords: Fault Diagnosis, Mahalanobis Distance, Multi-flow Model, Pressurized Water Reactor, Simulation Model |
| first_indexed | 2024-04-12T00:23:45Z |
| format | Article |
| id | doaj.art-d2a19fa250024d82ab73243de4ef2cdb |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-04-12T00:23:45Z |
| publishDate | 2018-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-d2a19fa250024d82ab73243de4ef2cdb2022-12-22T03:55:36ZengElsevierNuclear Engineering and Technology1738-57332018-04-01503396410An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plantMin-jun Peng0Hang Wang1Shan-shan Chen2Geng-lei Xia3Yong-kuo Liu4Xu Yang5Abiodun Ayodeji6Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, China; Corresponding author.Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaWuhan Second Ship Design and Research Institute, Wuhan, Hubei 430064, ChinaKey Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaKey Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaKey Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaKey Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, China; Nuclear Power Plant Development Directorate, Nigeria Atomic Energy Commission, Abuja, NigeriaTo assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodology should be available and used. A reliable fault diagnosis method is beneficial for the safety of nuclear power plants. The major idea proposed in this work is integrating the merits of different fault diagnosis methodologies to offset their obvious disadvantages and enhance the accuracy and credibility of on-line fault diagnosis. This methodology uses the principle component analysis-based model and multi-flow model to diagnose fault type. To ensure the accuracy of results from the multi-flow model, a mechanical simulation model is implemented to do the quantitative calculation. More significantly, mechanism simulation is implemented to provide training data with fault signatures. Furthermore, one of the distance formulas in similarity measurement—Mahalanobis distance—is applied for on-line failure degree evaluation. The performance of this methodology was evaluated by applying it to the reactor coolant system of a pressurized water reactor. The results of simulation analysis show the effectiveness and accuracy of this methodology, leading to better confidence of it being integrated as a part of the computerized operator support system to assist operators in decision-making. Keywords: Fault Diagnosis, Mahalanobis Distance, Multi-flow Model, Pressurized Water Reactor, Simulation Modelhttp://www.sciencedirect.com/science/article/pii/S1738573317303091 |
| spellingShingle | Min-jun Peng Hang Wang Shan-shan Chen Geng-lei Xia Yong-kuo Liu Xu Yang Abiodun Ayodeji An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant Nuclear Engineering and Technology |
| title | An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant |
| title_full | An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant |
| title_fullStr | An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant |
| title_full_unstemmed | An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant |
| title_short | An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant |
| title_sort | intelligent hybrid methodology of on line system level fault diagnosis for nuclear power plant |
| url | http://www.sciencedirect.com/science/article/pii/S1738573317303091 |
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