The application of a novel signal analysis algorithm for impact process acceleration

Author

Bai, Li ; Liu, Ming-jie ; Li, Xiao-feng ; Wang, Shi-hu

Author_Institution

Dept. of Electromech. Eng., Beijing Inst. of Technol., Beijing, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

2886

Lastpage

2889

Abstract

This paper presents a novel signal analysis method by combining ICA and EEMD algorithms, which can be used for decomposition and feature extraction of non-stationary random signals. The features of ICA and EEMD algorithm were analyzed. Simulations verified the feasibility of combining the two algorithms. The ICA and EEMD combined algorithm has good validity and practicality in the impact acceleration signal analysis of hard target. The results showed that the ICA-EEMD combined algorithm can extract the wear layer features of impact acceleration accurately and efficiently and analyze frequency characteristics of impact acceleration signal.

Keywords

feature extraction; independent component analysis; signal processing; EEMD algorithm; ICA algorithm; ensemble empirical mode decomposition; feature extraction; impact acceleration signal analysis; impact process acceleration; nonstationary random signal; signal analysis algorithm; signal analysis method; Acceleration; Algorithm design and analysis; Analytical models; Feature extraction; Noise; Signal analysis; Signal processing algorithms; ICA-EEMD; hard target; impact acceleration signal analysis; impact process signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6066591

Filename

6066591