Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution
Planet gear is the most unique dynamic component in planetary gearbox. It rotates around sun gear while rotating around its own central axis, causing modulation effect in monitoring signal. Planetary gear is usually connected to heavy external loads and other transmissions, fault feature of planet g...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/22/8062 |
| _version_ | 1827702278839074816 |
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| author | Jian Shen Lun Zhang Niaoqing Hu |
| author_facet | Jian Shen Lun Zhang Niaoqing Hu |
| author_sort | Jian Shen |
| collection | DOAJ |
| description | Planet gear is the most unique dynamic component in planetary gearbox. It rotates around sun gear while rotating around its own central axis, causing modulation effect in monitoring signal. Planetary gear is usually connected to heavy external loads and other transmissions, fault feature of planet gear may be overwhelmed by noises and other signals. Focused on planet gear inside planetary gearbox, a method for fault diagnosis is proposed in this paper based on continuous vibration separation (CVS) and minimum entropy deconvolution (MED). In this method, CVS is designed to separate dynamic responses of planet gear from overall vibration responses of planetary gearbox by overcoming the modulation effect and depressing noises. MED is used for enhancement detection of fault-related impulses. Simulations and experiments are conducted to collect signals for analysis. The proposed method is also compared with vibration separation method (VS). Both simulation and experiment analysis indicate that the proposed planet gear fault diagnosis method is effective. Comparative study indicates that CVS-MED method improves VS by keeping signal periodicity while overcoming modulation effect and depressing noises. |
| first_indexed | 2024-03-10T14:52:03Z |
| format | Article |
| id | doaj.art-a4b6cd2f16eb4cf9828ef0cfafd790a7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T14:52:03Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a4b6cd2f16eb4cf9828ef0cfafd790a72023-11-20T20:54:26ZengMDPI AGApplied Sciences2076-34172020-11-011022806210.3390/app10228062Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy DeconvolutionJian Shen0Lun Zhang1Niaoqing Hu2College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410072, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410072, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410072, ChinaPlanet gear is the most unique dynamic component in planetary gearbox. It rotates around sun gear while rotating around its own central axis, causing modulation effect in monitoring signal. Planetary gear is usually connected to heavy external loads and other transmissions, fault feature of planet gear may be overwhelmed by noises and other signals. Focused on planet gear inside planetary gearbox, a method for fault diagnosis is proposed in this paper based on continuous vibration separation (CVS) and minimum entropy deconvolution (MED). In this method, CVS is designed to separate dynamic responses of planet gear from overall vibration responses of planetary gearbox by overcoming the modulation effect and depressing noises. MED is used for enhancement detection of fault-related impulses. Simulations and experiments are conducted to collect signals for analysis. The proposed method is also compared with vibration separation method (VS). Both simulation and experiment analysis indicate that the proposed planet gear fault diagnosis method is effective. Comparative study indicates that CVS-MED method improves VS by keeping signal periodicity while overcoming modulation effect and depressing noises.https://www.mdpi.com/2076-3417/10/22/8062fault diagnosisplanet gearcontinuous vibration separationminimum entropy deconvolutionvibration separation |
| spellingShingle | Jian Shen Lun Zhang Niaoqing Hu Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution Applied Sciences fault diagnosis planet gear continuous vibration separation minimum entropy deconvolution vibration separation |
| title | Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution |
| title_full | Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution |
| title_fullStr | Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution |
| title_full_unstemmed | Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution |
| title_short | Fault Diagnosis of Planet Gear Using Continuous Vibration Separation and Minimum Entropy Deconvolution |
| title_sort | fault diagnosis of planet gear using continuous vibration separation and minimum entropy deconvolution |
| topic | fault diagnosis planet gear continuous vibration separation minimum entropy deconvolution vibration separation |
| url | https://www.mdpi.com/2076-3417/10/22/8062 |
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