Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM
Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used t...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2015-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.021 |
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| author | Li Sha Pan Hongxia Zhang Jundong Zhao Weiwei |
| author_facet | Li Sha Pan Hongxia Zhang Jundong Zhao Weiwei |
| author_sort | Li Sha |
| collection | DOAJ |
| description | Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved. |
| format | Article |
| id | doaj-art-d27a7cf6417e4551aac5ae978029e3b9 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-d27a7cf6417e4551aac5ae978029e3b92025-01-10T14:10:02ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-013913213629915360Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVMLi ShaPan HongxiaZhang JundongZhao WeiweiAiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.021GearboxFractal theoryMulti-fractalPSO-SVMFault diagnosis |
| spellingShingle | Li Sha Pan Hongxia Zhang Jundong Zhao Weiwei Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM Jixie chuandong Gearbox Fractal theory Multi-fractal PSO-SVM Fault diagnosis |
| title | Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM |
| title_full | Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM |
| title_fullStr | Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM |
| title_full_unstemmed | Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM |
| title_short | Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM |
| title_sort | fault diagnosis of gearbox based on multi fractal and pso svm |
| topic | Gearbox Fractal theory Multi-fractal PSO-SVM Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.021 |
| work_keys_str_mv | AT lisha faultdiagnosisofgearboxbasedonmultifractalandpsosvm AT panhongxia faultdiagnosisofgearboxbasedonmultifractalandpsosvm AT zhangjundong faultdiagnosisofgearboxbasedonmultifractalandpsosvm AT zhaoweiwei faultdiagnosisofgearboxbasedonmultifractalandpsosvm |