FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK
In order to accurately diagnose the fault of submersible sewage pump, an improved Hopfield neural network（HNN） fault diagnosis method was proposed. BP neural network was used for coding operation to overcome the coding defects of HNN neural network. The connection weights of HNN neural network were...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2022-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.005 |
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| author | WANG Hui LI NanQi YANG ZhiPeng ZHAO GuoChao TIAN LiYong |
| author_facet | WANG Hui LI NanQi YANG ZhiPeng ZHAO GuoChao TIAN LiYong |
| author_sort | WANG Hui |
| collection | DOAJ |
| description | In order to accurately diagnose the fault of submersible sewage pump, an improved Hopfield neural network（HNN） fault diagnosis method was proposed. BP neural network was used for coding operation to overcome the coding defects of HNN neural network. The connection weights of HNN neural network were optimized by particle swarm optimization（PSO） algorithm to improve the global convergence ability of the improved neural network, and the improved HNN neural network model was obtained. Based on the field experiments, the vibration signal feature vector of the submersible sewage pump under fault operation was obtained. Then the feature vector was used as sample data to train the improved neural network, and the fault types of the submersible sewage pump were diagnosed. The results show that the improved HNN neural network has better global convergence ability, and the typical fault diagnostic accuracy of the submersible sewage pump is more than 90%, which can realize the accurate diagnosis of the fault during the operation of the submersible sewage pump. |
| format | Article |
| id | doaj-art-637cb917c7194fa887845a3b971332b7 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-637cb917c7194fa887845a3b971332b72025-01-15T02:24:57ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-0144384429910525FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORKWANG HuiLI NanQiYANG ZhiPengZHAO GuoChaoTIAN LiYongIn order to accurately diagnose the fault of submersible sewage pump, an improved Hopfield neural network（HNN） fault diagnosis method was proposed. BP neural network was used for coding operation to overcome the coding defects of HNN neural network. The connection weights of HNN neural network were optimized by particle swarm optimization（PSO） algorithm to improve the global convergence ability of the improved neural network, and the improved HNN neural network model was obtained. Based on the field experiments, the vibration signal feature vector of the submersible sewage pump under fault operation was obtained. Then the feature vector was used as sample data to train the improved neural network, and the fault types of the submersible sewage pump were diagnosed. The results show that the improved HNN neural network has better global convergence ability, and the typical fault diagnostic accuracy of the submersible sewage pump is more than 90%, which can realize the accurate diagnosis of the fault during the operation of the submersible sewage pump.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.005Submersible sewage pumpImproved Hopfield neural networkPSO algorithmFault diagnosisVibration signal |
| spellingShingle | WANG Hui LI NanQi YANG ZhiPeng ZHAO GuoChao TIAN LiYong FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK Jixie qiangdu Submersible sewage pump Improved Hopfield neural network PSO algorithm Fault diagnosis Vibration signal |
| title | FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK |
| title_full | FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK |
| title_fullStr | FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK |
| title_full_unstemmed | FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK |
| title_short | FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK |
| title_sort | fault diagnosis method of submersible sewage pump based on improved hopfield neural network |
| topic | Submersible sewage pump Improved Hopfield neural network PSO algorithm Fault diagnosis Vibration signal |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.005 |
| work_keys_str_mv | AT wanghui faultdiagnosismethodofsubmersiblesewagepumpbasedonimprovedhopfieldneuralnetwork AT linanqi faultdiagnosismethodofsubmersiblesewagepumpbasedonimprovedhopfieldneuralnetwork AT yangzhipeng faultdiagnosismethodofsubmersiblesewagepumpbasedonimprovedhopfieldneuralnetwork AT zhaoguochao faultdiagnosismethodofsubmersiblesewagepumpbasedonimprovedhopfieldneuralnetwork AT tianliyong faultdiagnosismethodofsubmersiblesewagepumpbasedonimprovedhopfieldneuralnetwork |