Research on Feature Extraction for Ultrasonic Echo Signal Based on EEMD Approach

Abstract:

The bonding quality of composite materials have a critical influence on the quality of the product in modern industry, while the current technology can only make judgments on bonding and de-bonding instead of quantitative evaluation of different de-bonding degrees. We present HHT method to extract features of echo signals used for quantitative recognition of bonding quality of thin plates. For the non-stationary characteristic of the ultrasonic echo signal, empirical mode decomposition(EMD) and ensemble empirical mode decomposition(EEMD) are put forward to decompose the signal and calculate its energy torque. The HHT method highlights the time-frequency performance of echo signals effectively. The simulated signals verify that EEMD has more excellent decomposition performance than EMD, that is, EEMD diminishes the mode mixing to some extent generated from EMD decomposition.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 1311-1316
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.1311
• Online since: June 2013
• Authors: Jian Ming Yu*, Ze Zhang
• Keywords: Energy Torque, Ensemble Empirical Mode Decomposition (EEMD), Ultrasonic Echo Signal

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