A wavelet decomposition analysis of vibration signal for bearing fault detection
This paper presents a study of vibrational signal analysis for bearing fault detection using Discrete Wavelet Transform (DWT). In this study, the vibration data was acquired from three different types of bearing defect i.e. corroded, outer race defect and point defect. The experiments were carried o...
| Main Authors: | Che Ku Eddy Nizwan, Che Ku Husin, Ong, S. A, Mohd Fadhlan, Mohd Yusof, Mohamad Zairi, Baharom |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2013
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/32216/ http://umpir.ump.edu.my/id/eprint/32216/1/Nizwan_2013_IOP_Conf._Ser.__Mater._Sci._Eng._50_012026.pdf |
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