JOURNAL ARTICLE

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

Lan GuoNai Qiang DongWei TianFang Zhong ZhangCai Xiao Li

Year: 2011 Journal:   Key engineering materials Vol: 474-476 Pages: 189-194   Publisher: Trans Tech Publications

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.

Keywords:
Wavelet Wavelet packet decomposition Acoustic emission SIGNAL (programming language) Feature extraction Pattern recognition (psychology) Energy (signal processing) Feature (linguistics) Network packet Computer science Range (aeronautics) Signal processing Acoustics Artificial intelligence Wavelet transform Speech recognition Materials science Mathematics Physics Telecommunications Statistics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Ultrasonics and Acoustic Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials
Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced machining processes and optimization
Physical Sciences →  Engineering →  Mechanical Engineering

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