A Method of Tools AE Signal Feature Extraction Based on Wavelet Packet Analysis

Lan Shen Guo; Nai Qiang Dong; Wei Tian; Fang Zhong Zhang; Cai Xiao Li

doi:10.4028/www.scientific.net/KEM.474-476.189

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476A Method of Tools AE Signal Feature Extraction...

A Method of Tools AE Signal Feature Extraction Based on Wavelet Packet Analysis

Abstract:

The paper developed a method of tools AE signal feature extraction based on wavelet packet analysis, we used wavelet packet analysis to decompose acoustic emission signals for different frequency range of the signal components. The will occupy of the main energy of AE signal frequency range is extracted as the recognition feature vector of tool wear. The method has higher accuracy according to experiments.

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Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

189-194

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.474-476.189

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Online since:

April 2011

Authors:

Lan Shen Guo, Nai Qiang Dong, Wei Tian, Fang Zhong Zhang, Cai Xiao Li

Keywords:

Acoustic Emission Signal, Signal Spectrum Coefficient, State of Tool Wear, Wavelet Packet Analysis

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References

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