Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform
The vibration signal which reflecting the equipment fault feature often drowned in background noise when mechanical equipment occurring fault. The fault feature is very difficult to extract through frequency spectrum analysis. The translation invariant multiwavelet denoising method is applied to noi...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2016-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.02.032 |
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| author | Hua Wei Xing Zhigang Jing Shuangxi |
| author_facet | Hua Wei Xing Zhigang Jing Shuangxi |
| author_sort | Hua Wei |
| collection | DOAJ |
| description | The vibration signal which reflecting the equipment fault feature often drowned in background noise when mechanical equipment occurring fault. The fault feature is very difficult to extract through frequency spectrum analysis. The translation invariant multiwavelet denoising method is applied to noisy impact simulation signal and extract impact features hidden in the noise. Then the method is applied to the signal analysis of gearbox test bed,the experimental results show that the impact feature frequency of broken tooth gearbox can be effectively extracted through the translation invariant multiwavelet denoising method and broken teeth fault can be diagnosed,an accurate basis for fault diagnosis is provided. Through the simulation and experiment analysis,the effectiveness of translation invariant multiwavelet denoising method in fault diagnosis is verified. |
| format | Article |
| id | doaj-art-7c220f33f27a4aa7945b1bc1c97461b6 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-7c220f33f27a4aa7945b1bc1c97461b62025-01-10T14:19:08ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-014014214529922545Fault Diagnosis of Gear based on Translation Invariant Multiwavelet TransformHua WeiXing ZhigangJing ShuangxiThe vibration signal which reflecting the equipment fault feature often drowned in background noise when mechanical equipment occurring fault. The fault feature is very difficult to extract through frequency spectrum analysis. The translation invariant multiwavelet denoising method is applied to noisy impact simulation signal and extract impact features hidden in the noise. Then the method is applied to the signal analysis of gearbox test bed,the experimental results show that the impact feature frequency of broken tooth gearbox can be effectively extracted through the translation invariant multiwavelet denoising method and broken teeth fault can be diagnosed,an accurate basis for fault diagnosis is provided. Through the simulation and experiment analysis,the effectiveness of translation invariant multiwavelet denoising method in fault diagnosis is verified.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.02.032MultiwaveletTranslation invariantSignal denoisingFault diagnosis |
| spellingShingle | Hua Wei Xing Zhigang Jing Shuangxi Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform Jixie chuandong Multiwavelet Translation invariant Signal denoising Fault diagnosis |
| title | Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform |
| title_full | Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform |
| title_fullStr | Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform |
| title_full_unstemmed | Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform |
| title_short | Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform |
| title_sort | fault diagnosis of gear based on translation invariant multiwavelet transform |
| topic | Multiwavelet Translation invariant Signal denoising Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.02.032 |
| work_keys_str_mv | AT huawei faultdiagnosisofgearbasedontranslationinvariantmultiwavelettransform AT xingzhigang faultdiagnosisofgearbasedontranslationinvariantmultiwavelettransform AT jingshuangxi faultdiagnosisofgearbasedontranslationinvariantmultiwavelettransform |