Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network
Based on the background of rolling bearing fault diagnosis,taking the JZQ250 type transfer-box as test object,the shuffled frog leaping algorithm（ SFLA） is combined with back propagation（ BP） neural network,by using the efficient computing performance and the excellent ability of global optimization...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2017-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.05.026 |
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| author | Wang Yu Wei Xiuye |
| author_facet | Wang Yu Wei Xiuye |
| author_sort | Wang Yu |
| collection | DOAJ |
| description | Based on the background of rolling bearing fault diagnosis,taking the JZQ250 type transfer-box as test object,the shuffled frog leaping algorithm（ SFLA） is combined with back propagation（ BP） neural network,by using the efficient computing performance and the excellent ability of global optimization of shuffled frog leaping algorithm,the network structure of BP neural network is optimized. Through comparison,it is found that the BP neural network model optimized by shuffled frog leaping algorithm can avoid making it fall into local optimum,reduce the training time and improve the training accuracy during the training of the network,and have several advantages,such as relatively higher convergence rate and ability to accurately diagnose.Through a series of training and testing,the results show that this approach can improve the accuracy and reliability of fault diagnosis. |
| format | Article |
| id | doaj-art-fd28298c7abd4fedbdcf61d280015043 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-fd28298c7abd4fedbdcf61d2800150432025-01-10T14:23:14ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014112713129930321Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural NetworkWang YuWei XiuyeBased on the background of rolling bearing fault diagnosis,taking the JZQ250 type transfer-box as test object,the shuffled frog leaping algorithm（ SFLA） is combined with back propagation（ BP） neural network,by using the efficient computing performance and the excellent ability of global optimization of shuffled frog leaping algorithm,the network structure of BP neural network is optimized. Through comparison,it is found that the BP neural network model optimized by shuffled frog leaping algorithm can avoid making it fall into local optimum,reduce the training time and improve the training accuracy during the training of the network,and have several advantages,such as relatively higher convergence rate and ability to accurately diagnose.Through a series of training and testing,the results show that this approach can improve the accuracy and reliability of fault diagnosis.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.05.026Rolling bearingShuffled frog leaping algorithmBP neural networkFault diagnosis |
| spellingShingle | Wang Yu Wei Xiuye Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network Jixie chuandong Rolling bearing Shuffled frog leaping algorithm BP neural network Fault diagnosis |
| title | Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network |
| title_full | Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network |
| title_fullStr | Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network |
| title_full_unstemmed | Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network |
| title_short | Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network |
| title_sort | study on fault diagnosis method of bearing based on shuffled frog leaping algorithm to optimize the bp neural network |
| topic | Rolling bearing Shuffled frog leaping algorithm BP neural network Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.05.026 |
| work_keys_str_mv | AT wangyu studyonfaultdiagnosismethodofbearingbasedonshuffledfrogleapingalgorithmtooptimizethebpneuralnetwork AT weixiuye studyonfaultdiagnosismethodofbearingbasedonshuffledfrogleapingalgorithmtooptimizethebpneuralnetwork |