Bevel gearbox fault diagnosis using vibration measurements
The use of vibration measurementanalysis has been proven to be effective for gearbox fault diagnosis. However, the complexity of vibration signals observed from a gearbox makes it difficult to accurately detectfaults in the gearbox. This work is based on a comparative studyof several time-frequency...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Online Access: | https://eprints.nottingham.ac.uk/53290/ |
| _version_ | 1848798916776034304 |
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| author | Hartono, Dennis Halim, Dunant Widodo, Achmad Roberts, GethinWyn |
| author_facet | Hartono, Dennis Halim, Dunant Widodo, Achmad Roberts, GethinWyn |
| author_sort | Hartono, Dennis |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The use of vibration measurementanalysis has been proven to be effective for gearbox fault diagnosis. However, the complexity of vibration signals observed from a gearbox makes it difficult to accurately detectfaults in the gearbox. This work is based on a comparative studyof several time-frequency signal processing methods that can be used to extract information from transient vibration signals containing useful diagnostic information. Experiments were performed on a bevel gearbox test rig using vibration measurements obtained from accelerometers. Initially, thediscrete wavelet transform was implementedfor vibration signal analysis to extract the frequency content of signal from the relevant frequency region. Several time-frequency signal processing methods werethen incorporated to extract the fault features of vibration signals and their diagnostic performances were compared. It was shown thatthe Short Time Fourier Transform (STFT) could not offer a good time resolution to detect the periodicity of the faulty gear tooth due the difficulty in choosing an appropriate window length to capture the impulse signal. The Continuous Wavelet Transform (CWT), on the other hand, was suitable to detection of vibration transients generated by localized fault from a gearbox due to its multi-scale property. However, both methods still require a thorough visual inspection. In contrast, it was shown from the experiments that the diagnostic method using the Cepstrum analysis could provide a direct indication of the faulty tooth without the need of a thorough visual inspection as required by CWT and STFT. |
| first_indexed | 2025-11-14T20:27:23Z |
| format | Article |
| id | nottingham-53290 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:27:23Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-532902018-08-23T09:03:33Z https://eprints.nottingham.ac.uk/53290/ Bevel gearbox fault diagnosis using vibration measurements Hartono, Dennis Halim, Dunant Widodo, Achmad Roberts, GethinWyn The use of vibration measurementanalysis has been proven to be effective for gearbox fault diagnosis. However, the complexity of vibration signals observed from a gearbox makes it difficult to accurately detectfaults in the gearbox. This work is based on a comparative studyof several time-frequency signal processing methods that can be used to extract information from transient vibration signals containing useful diagnostic information. Experiments were performed on a bevel gearbox test rig using vibration measurements obtained from accelerometers. Initially, thediscrete wavelet transform was implementedfor vibration signal analysis to extract the frequency content of signal from the relevant frequency region. Several time-frequency signal processing methods werethen incorporated to extract the fault features of vibration signals and their diagnostic performances were compared. It was shown thatthe Short Time Fourier Transform (STFT) could not offer a good time resolution to detect the periodicity of the faulty gear tooth due the difficulty in choosing an appropriate window length to capture the impulse signal. The Continuous Wavelet Transform (CWT), on the other hand, was suitable to detection of vibration transients generated by localized fault from a gearbox due to its multi-scale property. However, both methods still require a thorough visual inspection. In contrast, it was shown from the experiments that the diagnostic method using the Cepstrum analysis could provide a direct indication of the faulty tooth without the need of a thorough visual inspection as required by CWT and STFT. 2016-05-24 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/53290/1/matecconf_icfst2016_06002.pdf Hartono, Dennis, Halim, Dunant, Widodo, Achmad and Roberts, GethinWyn (2016) Bevel gearbox fault diagnosis using vibration measurements. MATEC Web of Conferences, 59 . ISSN 2261-236X Gearbox fault diagnosis; vibration measurements http://dx.doi.org/10.1051/matecconf/20165906002 doi:10.1051/matecconf/20165906002 doi:10.1051/matecconf/20165906002 |
| spellingShingle | Gearbox fault diagnosis; vibration measurements Hartono, Dennis Halim, Dunant Widodo, Achmad Roberts, GethinWyn Bevel gearbox fault diagnosis using vibration measurements |
| title | Bevel gearbox fault diagnosis using vibration measurements |
| title_full | Bevel gearbox fault diagnosis using vibration measurements |
| title_fullStr | Bevel gearbox fault diagnosis using vibration measurements |
| title_full_unstemmed | Bevel gearbox fault diagnosis using vibration measurements |
| title_short | Bevel gearbox fault diagnosis using vibration measurements |
| title_sort | bevel gearbox fault diagnosis using vibration measurements |
| topic | Gearbox fault diagnosis; vibration measurements |
| url | https://eprints.nottingham.ac.uk/53290/ https://eprints.nottingham.ac.uk/53290/ https://eprints.nottingham.ac.uk/53290/ |