A wavelet decomposition analysis of vibration signal for bearing fault detection

• 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: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/32216/1/Nizwan_2013_IOP_Conf._Ser.__Mater._Sci._Eng._50_012026.pdf; http://umpir.ump.edu.my/id/eprint/32216/; https://doi.org/10.1088/1757-899X/50/1/012026

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...