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
10_Bearing_defect_detection_and_diagnosis_using_a_time_encoded_signal_processing_and_pattern_recognition_method.pdf - Accepted Version
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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.
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