Research on EMD improvement methods

Ji Qi; Haiyan Yang; Zewei Yan

doi:10.1117/12.2679793

18 July 2023 Research on EMD improvement methods

Ji Qi, Haiyan Yang, Zewei Yan

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272229 (2023) https://doi.org/10.1117/12.2679793
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

The article focuses on the basic concept and theoretical basis of EMD, and analyzes the advantageous aspects and shortcomings of EMD. It also introduces various methods to improve EMD, such as the proposed EEMD method, which describes the theory and advantages of EEMD, the EEMD-CNN method, which is to eliminate the added Gaussian white noise first, before the decomposition of EEMD to improve its accuracy, the CEEMD processing, which adds two opposite Gaussian white noises, and the MEEMD processing, in which the CEEMD processing adds the concept of cliff value to improve its decomposition efficiency and make it more practical.

Citation Download Citation

Ji Qi, Haiyan Yang, and Zewei Yan "Research on EMD improvement methods", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272229 (18 July 2023); https://doi.org/10.1117/12.2679793

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