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

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.