Improved EEMD on the Application Research of Signal Trend Analysis

Abstract:

The trend of the measured signal can not only reflect the influence of the external environment, and also reflect the performance of the machine itself mutations. Therefore, removing and extracting tendency item is the necessary link in signal pretreatment.In order to eliminate endpoint effect and modal aliasing phenomenon in EMD and EEMD, based on EEMD,improved EEMD is put forward and the improved EEMD in the application of the signal trend analysis is researched in this paper.In the measured signals to join in a ramp signals,With the improved EEMD decomposition extracted residual items,and the residual items with the original slope signal similarity analysis,the similarity is 0.975.compared to EMD extracted residual items similarity 0.898, EEMD extracted residual items similarity 0.961,the improved EEMD extracted residual item can more accurately reflect the trend of signal.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2020-2023
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2020
• Online since: November 2012
• Authors: Mei Jun Zhang, Chuang Wang, Qin Cao, Hao Chen
• Keywords: EEMD, Mechanical Fault Diagnosis, Signal Preprocessing, Signal Trend Analysis

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