FAULT DIAGNOSIS OF GEARS BASED ON TIME-WAVELET ENERGY SPECTRUM
Zhang Jin1;Feng Zhipeng2;Chu Fulei1
1. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China; 2. Institute of Vehicular Engineering, University of Science and Technology Beijing, Beijing 100083, China
Abstract：The impulses in vibration signals and their spectral features are important in diagnosing localized damage of gears. A new method, so called time-wavelet energy spectrum, is proposed for gear fault diagnosis. It can extract the feature of impulses in both time domain and frequency domain. It is applied to analyzing the vibration signals of a gearbox under normal, worn and tooth broken statuses. The comparison with traditional spectral analysis shows that: the time-wavelet energy spectrum is effective in extracting the impulse features produced by localized gear damage, and thereby in recognizing and locating the gear faults.
2011, Vol. 30 
