APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX
Aiming at the problem that early fault characteristic signal of bearing in gear box is weak and affected by the environmental noise seriously,which makes the fault feature information is difficult to identify,a early fault diagnosis method of gear box is proposed based on dual-tree complex wavelet t...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2018-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.005 |
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| author | WANG ChaoGe LIU TongTong REN XuePing ZHANG HaoDong WANG JianGuo |
| author_facet | WANG ChaoGe LIU TongTong REN XuePing ZHANG HaoDong WANG JianGuo |
| author_sort | WANG ChaoGe |
| collection | DOAJ |
| description | Aiming at the problem that early fault characteristic signal of bearing in gear box is weak and affected by the environmental noise seriously,which makes the fault feature information is difficult to identify,a early fault diagnosis method of gear box is proposed based on dual-tree complex wavelet transform and minimum entropy deconvolution. Firstly,the dual-tree complex wavelet transform method was used to decompose the collected vibration signals into several components with different frequency bands.. However,due to the interference of noise,it was difficult to make a correct judgment from the spectrum of the components. Then,the component that contains fault feature was processed by using minimum entropy deconvolution to reduce the strong background noise and enhance the fault information. Finally,the Hilbert envelope spectrum analysis was performed to identify the frequency of the bearing fault. The effectiveness and superiority of the proposed method are verified by Simulation experiment of bearing fault in gear box and engineering application. |
| format | Article |
| id | doaj-art-ec8a0eea9344482096f86c2d2b7615ab |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-ec8a0eea9344482096f86c2d2b7615ab2025-01-15T02:32:17ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014028028630601095APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOXWANG ChaoGeLIU TongTongREN XuePingZHANG HaoDongWANG JianGuoAiming at the problem that early fault characteristic signal of bearing in gear box is weak and affected by the environmental noise seriously,which makes the fault feature information is difficult to identify,a early fault diagnosis method of gear box is proposed based on dual-tree complex wavelet transform and minimum entropy deconvolution. Firstly,the dual-tree complex wavelet transform method was used to decompose the collected vibration signals into several components with different frequency bands.. However,due to the interference of noise,it was difficult to make a correct judgment from the spectrum of the components. Then,the component that contains fault feature was processed by using minimum entropy deconvolution to reduce the strong background noise and enhance the fault information. Finally,the Hilbert envelope spectrum analysis was performed to identify the frequency of the bearing fault. The effectiveness and superiority of the proposed method are verified by Simulation experiment of bearing fault in gear box and engineering application.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.005Gear boxDual tree complex wavelet transformMinimum entropy deconvolutionHilbert envelope spectrumBearingFault diagnosis |
| spellingShingle | WANG ChaoGe LIU TongTong REN XuePing ZHANG HaoDong WANG JianGuo APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX Jixie qiangdu Gear box Dual tree complex wavelet transform Minimum entropy deconvolution Hilbert envelope spectrum Bearing Fault diagnosis |
| title | APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX |
| title_full | APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX |
| title_fullStr | APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX |
| title_full_unstemmed | APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX |
| title_short | APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX |
| title_sort | application of the dual tree complex wavelet transform and minimum entropy deconvolution in incipient fault diagnosis of the gear box |
| topic | Gear box Dual tree complex wavelet transform Minimum entropy deconvolution Hilbert envelope spectrum Bearing Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.005 |
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