Performance of Envelope Demodulation for Bearing Damage Detection on CWRU Accelerometric Data: Kurtogram and Traditional Indicators vs. Targeted a Posteriori Band Indicators

Envelope demodulation of vibration signals is surely one the most successful methods analysis for highlighting diagnostic information rolling element bearings incipient faults. From a mathematical perspective, selection proper band can be regarded as an optimization problem involving utility function to assess performance in particular and scheme move within search space all possible frequency bands {f, Δf} (center size) towards optimal one. In cases, kurtosis-based indices are used select band. Nevertheless, overcome lack robustness non-Gaussian noise, different functions found literature. One these kurtosis unbiased autocorrelation squared envelope filtered signal autogram. These heuristics usually sufficient highlight defect spectral lines demodulated spectrum (i.e., (SES)), enabling diagnostics. it not always case. this work, then, posteriori indicators based on SES proposed general goodness traditional indicators. The Case Western Reserve University bearing dataset test