Study on Acoustic Emission Detective Signal Restoration under Multifactor Interference

Abstract:

For solving signal restoration distortion affected by the signal spectrum composition changes and tested baseline drift, this papers methods mainly involve time-frequency energy analysis, wavelet soft threshold de-noising algorithm and baseline drift cancellation method. The result shows that these methods can effectively eliminate the interference of different micro-variable fault signals. The restored high-fidelity signals provide base for subsequent identification of fault reasons.

• Periodical: Applied Mechanics and Materials (Volume 329)
• Pages: 274-277
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.329.274
• Online since: June 2013
• Authors: Yan Wang, Ji Fei Cai, Yang Zhang, Guang Li, Rui Ming Fang
• Keywords: Acoustic Emission (AE), Defect Detection, Mechanical Equipment, Noise Cancellation, Wavelet Analysis

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