BEARING FAULT DETECTION AND DIAGNOSIS BASED ON TEAGER-HUANG TRANSFORM
A new approach to fault diagnosis of bearings based on the Teager-Huang Transform (THT) is presented. This method is based on the Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) techniques. EMD can adaptively decompose the vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM) Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous amplitude and instantaneous frequency of the AM-FM component at any instant. The experimental examples are conducted to evaluate the effectiveness of the proposed approach. The experimental results provide strong evidence that the performance of the Teager-Huang Transform approach is better than that of the Hilbert-Huang Transform approach for bearing fault detection. The Teager-Huang Transform has better resolution than the Hilbert-Huang Transform. The Teager-Huang Transform can effectively diagnose the faults of the bearing, thus providing a viable processing tool for gearbox defect monitoring.
bearing teager-huang transform fault diagnosis empirical mode decomposition hilbert-huang transform signal processing time-frequency analysis