A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes
Aiming at the problems of premature convergence of cuckoo search algorithm and difficulty in effectively identifying the fault modes of wind turbine gearboxes, an intelligent diagnosis technology based on BP neural network trained by the self-adaptive cuckoo search (SaCS-BP) algorithm is proposed. B...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2023-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.01.019 |
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| _version_ | 1841547059654557696 |
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| author | Xiong Yan Zou Ziming Cheng Jiatang Duan Zhimei |
| author_facet | Xiong Yan Zou Ziming Cheng Jiatang Duan Zhimei |
| author_sort | Xiong Yan |
| collection | DOAJ |
| description | Aiming at the problems of premature convergence of cuckoo search algorithm and difficulty in effectively identifying the fault modes of wind turbine gearboxes, an intelligent diagnosis technology based on BP neural network trained by the self-adaptive cuckoo search (SaCS-BP) algorithm is proposed. By constructing SaCS algorithm, the step size and discovery probability are adjusted adaptively, and a set of benchmark functions are employed to test the effectiveness of the proposed algorithm. Then, the fault diagnosis model of wind turbine gearbox is constructed by combining SaCS with BP neural network. Experimental results show that SaCS algorithm has better optimization accuracy and universality. Moreover, compared with BP neural network and BP network trained by cuckoo search algorithm (CS-BP), SaCS-BP method has the highest diagnostic accuracy, so as to realize the effective identification of the fault modes of wind turbine gearboxes. |
| format | Article |
| id | doaj-art-c941a36e74a94c87886c619acd50fe9c |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-c941a36e74a94c87886c619acd50fe9c2025-01-10T14:57:38ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392023-01-014713213733588806A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine GearboxesXiong YanZou ZimingCheng JiatangDuan ZhimeiAiming at the problems of premature convergence of cuckoo search algorithm and difficulty in effectively identifying the fault modes of wind turbine gearboxes, an intelligent diagnosis technology based on BP neural network trained by the self-adaptive cuckoo search (SaCS-BP) algorithm is proposed. By constructing SaCS algorithm, the step size and discovery probability are adjusted adaptively, and a set of benchmark functions are employed to test the effectiveness of the proposed algorithm. Then, the fault diagnosis model of wind turbine gearbox is constructed by combining SaCS with BP neural network. Experimental results show that SaCS algorithm has better optimization accuracy and universality. Moreover, compared with BP neural network and BP network trained by cuckoo search algorithm (CS-BP), SaCS-BP method has the highest diagnostic accuracy, so as to realize the effective identification of the fault modes of wind turbine gearboxes.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.01.019Cuckoo search (CS)Self-adaptiveWind turbine gearboxBP neural networkFault diagnosis |
| spellingShingle | Xiong Yan Zou Ziming Cheng Jiatang Duan Zhimei A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes Jixie chuandong Cuckoo search (CS) Self-adaptive Wind turbine gearbox BP neural network Fault diagnosis |
| title | A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes |
| title_full | A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes |
| title_fullStr | A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes |
| title_full_unstemmed | A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes |
| title_short | A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes |
| title_sort | self adaptive cs algorithm and its application in fault diagnosis of wind turbine gearboxes |
| topic | Cuckoo search (CS) Self-adaptive Wind turbine gearbox BP neural network Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.01.019 |
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