Abdusslam, S.A., Raharjo, Parno, Gu, Fengshou and Ball, Andrew (2012) Bearing defect detection and diagnosis using a time encoded signal processing and pattern recognition method. Journal of Physics: Conference Series, 364. 012036. ISSN 1742-6596
|PDF - Accepted Version |
Download (347kB) | Preview
Many new bearing monitoring and diagnosis methods have been explored in the last two decades to provide a technique that is capable of picking up an incipient bearing fault. Vibration analysis is a commonly used condition monitoring technique in world industry and has proved an effective method for rolling bearing monitoring systems. The focus of this paper is to combine two conventional methods: wavelet transform and envelope analysis with the Time Encoded Signal Processing and Recognition (TESPAR) to develop a better technique for detection of small bearing faults. Results show that TESPAR with these two combinations provides good fault discrimination in terms of location and severity for different bearing conditions.
Downloader CountriesMore statistics for this item...
Repository Staff Only: item control page