Vibration Signature Analysis and Parameter Extractions on Damages in Gears and Rolling Element Bearings

摘要: This paper is to analyze and identify damage in gear teeth rolling element bearings by establishing pattern feature parameters from vibration signatures. In the present work, different scenarios involving combinations of tooth damage, bearing are considered. Each studied compared time domain, frequency joint time-frequency domain using FM0 technique, Fourier Transform, Wigner-Ville Continuous Wavelet respectively. Results obtained three signal domains analyzed develop indicative visual presentations that measure integrity wellness components. The continuous wavelet transform has shown be a superior technique for providing clear examination solution types component damages as well extractions used computer-based machine health monitoring solution.