Feature Extraction & Application of Engineering Non-stationary Signals Based on EMD-approximate entropy
A feature extraction method based on empirical mode decomposition,approximate entropy is proposed. Firstly,the vibration signals are decomposed into a finite number of intrinsic mode functions by empirical mode decomposition.Then,by the means of approximate entropy, the complexity of the original and its intrinsic oscillation modes can be quantified,thereby the intrinsic mode complexity of reciprocating mechanical vibration signals can be quantitatively evaluated.So,the approximate entropies of intrinsic mode functions can serve as the fault characteristic vectors of support vector machine.Finally,the mechanical working condition and faults are classified.The results of engineering application validate the effectiveness of the method.
Empirical mode decomposition Approximate entropy Support vector machine Feature extraction Signal processing
LV Jianxin Wu Husheng Tian Jie
Department of Equipment Engineering College of CAPF Sian,710086,China College of Communications Engineering College of CAPF Sian,710086,China
国际会议
长春
英文
222-225
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）