Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Japanese Society of Tribologists
2013-04-01
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| Series: | Tribology Online |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/trol/8/3/8_192/_pdf/-char/en |
| _version_ | 1818682063793946624 |
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| author | Amit R. Bhende Gajanan Awari Sachin P. Untawale |
| author_facet | Amit R. Bhende Gajanan Awari Sachin P. Untawale |
| author_sort | Amit R. Bhende |
| collection | DOAJ |
| description | In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal processing technique is selected. However present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior with respect to frequency and time characteristics and then select the signal processing technique to acquire a meaningful results. This system not only selects the signal processing technique but also gives the type of bearing defect generating the vibration signals. |
| first_indexed | 2024-12-17T10:12:53Z |
| format | Article |
| id | doaj.art-a20ee99daca54edabab398c8f02b09a5 |
| institution | Directory Open Access Journal |
| issn | 1881-2198 |
| language | English |
| last_indexed | 2024-12-17T10:12:53Z |
| publishDate | 2013-04-01 |
| publisher | Japanese Society of Tribologists |
| record_format | Article |
| series | Tribology Online |
| spelling | doaj.art-a20ee99daca54edabab398c8f02b09a52022-12-21T21:52:59ZengJapanese Society of TribologistsTribology Online1881-21982013-04-018319219410.2474/trol.8.192trolAlgorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault DetectionAmit R. Bhende0Gajanan Awari1Sachin P. Untawale2Department of Mechanical Engineering, RTM Nagpur UniversityDepartment of Mechanical Engineering, RTM Nagpur UniversityDepartment of Mechanical Engineering, RTM Nagpur UniversityIn the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which signal processing technique is selected. However present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior with respect to frequency and time characteristics and then select the signal processing technique to acquire a meaningful results. This system not only selects the signal processing technique but also gives the type of bearing defect generating the vibration signals.https://www.jstage.jst.go.jp/article/trol/8/3/8_192/_pdf/-char/envibrationfrequencyordermodelfftceramic ball |
| spellingShingle | Amit R. Bhende Gajanan Awari Sachin P. Untawale Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection Tribology Online vibration frequency order model fft ceramic ball |
| title | Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection |
| title_full | Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection |
| title_fullStr | Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection |
| title_full_unstemmed | Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection |
| title_short | Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection |
| title_sort | algorithm for selecting signal processing technique in vibration based bearing fault detection |
| topic | vibration frequency order model fft ceramic ball |
| url | https://www.jstage.jst.go.jp/article/trol/8/3/8_192/_pdf/-char/en |
| work_keys_str_mv | AT amitrbhende algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection AT gajananawari algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection AT sachinpuntawale algorithmforselectingsignalprocessingtechniqueinvibrationbasedbearingfaultdetection |