TY - GEN
T1 - A novel denoising method based on ensemble empirical mode decomposition principle component analysis
AU - Feng, Yang
AU - Huang, Xiao Diao
AU - Chen, Jie
AU - Hong, Rong Jing
N1 - Publisher Copyright:
© (2014) Trans Tech Publications, Switzerland.
PY - 2014
Y1 - 2014
N2 - Equipment performance degradation model is a key component in its diagnosis and prognosis models. As to slewing bearing, vibration signals are usually non-stationary and with strong white noise, which makes it very difficult to extract useful information from the signals. Therefore, an Ensemble Empirical Mode Decomposition – Principle Component Analysis (EEMD - PCA) based method was proposed to denoise the vibration signals and performance degradation model was established by PCA. To verify the proposed method, an experiment was conducted and the life cycle vibration signals were acquired. After denoising, performance degradation model was established to explain the denoising performance. Results show that the proposed method acquired a better denoising performance than EEMD-MSPCA, which provides a potential for further research.
AB - Equipment performance degradation model is a key component in its diagnosis and prognosis models. As to slewing bearing, vibration signals are usually non-stationary and with strong white noise, which makes it very difficult to extract useful information from the signals. Therefore, an Ensemble Empirical Mode Decomposition – Principle Component Analysis (EEMD - PCA) based method was proposed to denoise the vibration signals and performance degradation model was established by PCA. To verify the proposed method, an experiment was conducted and the life cycle vibration signals were acquired. After denoising, performance degradation model was established to explain the denoising performance. Results show that the proposed method acquired a better denoising performance than EEMD-MSPCA, which provides a potential for further research.
KW - EEMD-PCA
KW - Non-stationary signal
KW - Performance degradation model
KW - Slewing bearing
UR - http://www.scopus.com/inward/record.url?scp=84920849518&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.668-669.1157
DO - 10.4028/www.scientific.net/AMM.668-669.1157
M3 - 会议稿件
AN - SCOPUS:84920849518
T3 - Applied Mechanics and Materials
SP - 1157
EP - 1261
BT - Mechanical Components and Control Engineering III
A2 - Ge, Weimin
PB - Trans Tech Publications Ltd
T2 - 3rd Asian Pacific Conference on Mechanical Components and Control Engineering, ICMCCE 2014
Y2 - 20 September 2014 through 21 September 2014
ER -