Vibration-based Fault Diagnostic of a Spur Gearbox
This paper presents comparative studies of Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) as several advanced time-frequency analysis methods for diagnosing an early stage of spur gear tooth failure. An incipient fault of a chipped tooth was...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20167002004 |
| _version_ | 1818945461179908096 |
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| author | Hartono Dennis Halim Dunant Roberts Gethin Wyn Liu Qianyu |
| author_facet | Hartono Dennis Halim Dunant Roberts Gethin Wyn Liu Qianyu |
| author_sort | Hartono Dennis |
| collection | DOAJ |
| description | This paper presents comparative studies of Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) as several advanced time-frequency analysis methods for diagnosing an early stage of spur gear tooth failure. An incipient fault of a chipped tooth was investigated in this work using vibration measurements from a spur gearbox test rig. Time Synchronous Averaging was implemented for the analysis to enhance the clarity of fault feature from the gear of interest. Based on the experimental results and analysis, it was shown that FFT method could identify the location of the faulty gear with sufficient accuracy. On the other hand, Short Time Fourier Transform method could not provide the angular location information of the faulty gear. It was found that the Continuous Wavelet Transform method offered the best representation of angle-frequency representation. It was not only able to distinguish the difference between the normal and faulty gearboxes from the joint angle-frequency results but could also provide an accurate angular location of the faulty gear tooth in the gearbox. |
| first_indexed | 2024-12-20T07:59:29Z |
| format | Article |
| id | doaj.art-be9aad2c20dd434ca14145bc0855a70e |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T07:59:29Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-be9aad2c20dd434ca14145bc0855a70e2022-12-21T19:47:34ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01700200410.1051/matecconf/20167002004matecconf_icmit2016_02004Vibration-based Fault Diagnostic of a Spur GearboxHartono Dennis0Halim Dunant1Roberts Gethin Wyn2Liu Qianyu3Department of Mechanical, Materials and Manufacturing Engineering The University of Nottingham Ningbo ChinaDepartment of Mechanical, Materials and Manufacturing Engineering The University of Nottingham Ningbo ChinaDepartment of Civil Engineering, The University of Nottingham Ningbo ChinaDepartment of Mechanical, Materials and Manufacturing Engineering The University of Nottingham Ningbo ChinaThis paper presents comparative studies of Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) as several advanced time-frequency analysis methods for diagnosing an early stage of spur gear tooth failure. An incipient fault of a chipped tooth was investigated in this work using vibration measurements from a spur gearbox test rig. Time Synchronous Averaging was implemented for the analysis to enhance the clarity of fault feature from the gear of interest. Based on the experimental results and analysis, it was shown that FFT method could identify the location of the faulty gear with sufficient accuracy. On the other hand, Short Time Fourier Transform method could not provide the angular location information of the faulty gear. It was found that the Continuous Wavelet Transform method offered the best representation of angle-frequency representation. It was not only able to distinguish the difference between the normal and faulty gearboxes from the joint angle-frequency results but could also provide an accurate angular location of the faulty gear tooth in the gearbox.http://dx.doi.org/10.1051/matecconf/20167002004 |
| spellingShingle | Hartono Dennis Halim Dunant Roberts Gethin Wyn Liu Qianyu Vibration-based Fault Diagnostic of a Spur Gearbox MATEC Web of Conferences |
| title | Vibration-based Fault Diagnostic of a Spur Gearbox |
| title_full | Vibration-based Fault Diagnostic of a Spur Gearbox |
| title_fullStr | Vibration-based Fault Diagnostic of a Spur Gearbox |
| title_full_unstemmed | Vibration-based Fault Diagnostic of a Spur Gearbox |
| title_short | Vibration-based Fault Diagnostic of a Spur Gearbox |
| title_sort | vibration based fault diagnostic of a spur gearbox |
| url | http://dx.doi.org/10.1051/matecconf/20167002004 |
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