De-noising in Intensive Noises Vibration Signal Based on Independent Component Analysis(ICA)
FU Xing-jun · Turbine Technology · 2006
As Wavelet modules maximum de-noising methods weaken or fail in the intensive noises environment,a method based on independent component analysis feature extraction was applied for rub-impact signals in this paper.The ICA de-nosing methods experiments of rub-impact signal with intensive noise were compared with the wavelet modules maximum de-noising method,the results show that ICA method is more efficient and provides a new approach for the detecting of weak vibration signals from the intensive noises environment.