Acoustic emission based grinding wheel wear monitoring: Signal processing and feature extraction

Chia-Hsuan Shen

doi:10.1016/j.apacoust.2022.108863

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Acoustic emission based grinding wheel wear monitoring: Signal processing and feature extraction

Chia-Hsuan Shen

Year: 2022 Journal: Applied Acoustics Vol: 196 Pages: 108863-108863 Publisher: Elsevier BV

DOI: 10.1016/j.apacoust.2022.108863

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Keywords:

Acoustic emission Fast Fourier transform Frequency domain Feature extraction Time domain Support vector machine SIGNAL (programming language) Signal processing Computer science Feature (linguistics) Time–frequency analysis Pattern recognition (psychology) Condition monitoring Acoustics Artificial intelligence Engineering Electronic engineering Algorithm Computer vision Digital signal processing

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Topics

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Advanced Machining and Optimization Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Surface Polishing Techniques

Physical Sciences → Engineering → Biomedical Engineering

Acoustic emission based grinding wheel wear monitoring: Signal processing and feature extraction

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Citation History

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