Gears and Bearings Combined Faults Detection Using Hilbert Transform and Wavelet Multiresolution Analysis

摘要: Rotating machinery represents a significant class of mechanical systems, in which gears and bearings are the important frequently encountered components that find wide spread industrial applications. Currently, vibratory analysis becomes most reliable tool for conditional maintenance rotating machines. The associated techniques evolved so much one passed from simple late detection to diagnosis, even prediction. Researches this field directed towards possibility anearly detection, several signal processing techniques, often adapted precise defect type, were established throughout these last years. From those, demodulation by wavelets multiresolution combined with Hilbert transform (Envelope analysis), allowing making filtering at same time. objective work is application technique faults rotatory machines more particularly faults.