Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum
As one of the most common gear failure modes, tooth wear can produce nonlinear modulation sidebands in the vibration frequency spectrum. However, limited research has been reported in monitoring the gear wear based on vibration due to the lack of tools which can effectively extract the small sideban...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/7/3/274 |
| _version_ | 1818286420602650624 |
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| author | Ruiliang Zhang Xi Gu Fengshou Gu Tie Wang Andrew D. Ball |
| author_facet | Ruiliang Zhang Xi Gu Fengshou Gu Tie Wang Andrew D. Ball |
| author_sort | Ruiliang Zhang |
| collection | DOAJ |
| description | As one of the most common gear failure modes, tooth wear can produce nonlinear modulation sidebands in the vibration frequency spectrum. However, limited research has been reported in monitoring the gear wear based on vibration due to the lack of tools which can effectively extract the small sidebands. In order to accurately monitor gear wear progression in a timely fashion, this paper presents a gear wear condition monitoring approach based on vibration signal analysis using the modulation signal bispectrum-based sideband estimator (MSB-SE) method. The vibration signals are collected using a run-to-failure test of gearbox under an accelerated test process. MSB analysis was performed on the vibration signals to extract the sideband information. Using a combination of the peak value of MSB-SE and the coherence of MSB-SE, the overall information of gear transmission system can be obtained. Based on the amplitude of MSB-SE peaks, a dimensionless indicator is proposed to assess the effects of gear tooth wear. The results demonstrated that the proposed indicator can be used to accurately and reliably monitor gear tooth wear and evaluate the wear severity. |
| first_indexed | 2024-12-13T01:24:19Z |
| format | Article |
| id | doaj.art-2eb3c1f9c16d4d1db1d5584ffbc292a1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T01:24:19Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2eb3c1f9c16d4d1db1d5584ffbc292a12022-12-22T00:04:09ZengMDPI AGApplied Sciences2076-34172017-03-017327410.3390/app7030274app7030274Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal BispectrumRuiliang Zhang0Xi Gu1Fengshou Gu2Tie Wang3Andrew D. Ball4School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Electronic Engineering, Bangor College Changsha, Central South University of Forestry and Technology, Changsha 410004, ChinaSchool of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCentre for Efficiency and Performance Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UKAs one of the most common gear failure modes, tooth wear can produce nonlinear modulation sidebands in the vibration frequency spectrum. However, limited research has been reported in monitoring the gear wear based on vibration due to the lack of tools which can effectively extract the small sidebands. In order to accurately monitor gear wear progression in a timely fashion, this paper presents a gear wear condition monitoring approach based on vibration signal analysis using the modulation signal bispectrum-based sideband estimator (MSB-SE) method. The vibration signals are collected using a run-to-failure test of gearbox under an accelerated test process. MSB analysis was performed on the vibration signals to extract the sideband information. Using a combination of the peak value of MSB-SE and the coherence of MSB-SE, the overall information of gear transmission system can be obtained. Based on the amplitude of MSB-SE peaks, a dimensionless indicator is proposed to assess the effects of gear tooth wear. The results demonstrated that the proposed indicator can be used to accurately and reliably monitor gear tooth wear and evaluate the wear severity.http://www.mdpi.com/2076-3417/7/3/274modulation signal bispectrumgear wearvibration signalsideband estimator |
| spellingShingle | Ruiliang Zhang Xi Gu Fengshou Gu Tie Wang Andrew D. Ball Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum Applied Sciences modulation signal bispectrum gear wear vibration signal sideband estimator |
| title | Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum |
| title_full | Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum |
| title_fullStr | Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum |
| title_full_unstemmed | Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum |
| title_short | Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum |
| title_sort | gear wear process monitoring using a sideband estimator based on modulation signal bispectrum |
| topic | modulation signal bispectrum gear wear vibration signal sideband estimator |
| url | http://www.mdpi.com/2076-3417/7/3/274 |
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