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Research article

First published 2017-9

The influence of the contact features on the tyre wear in steady-state conditions

Chen Wang, Haibo Huang, Xing Chen [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2005-11

Feature Extraction with Discrete Wavelet Transform for Drill Wear Monitoring

Qiao Sun, Ying Tang, Wei Yang Lu [...]

Journal of Vibration and Control

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Research article

First published 2023-2

Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose

Mei Xiao, Yu Liu, Lei Zhang [...]

Proceedings of the Institution of Mechanical Engineers,Part J: Journal of Engineering Tribology

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Research article

First published 2025

Robot milling tool wear monitoring based on variational autoencoder with multidomain depth features

Jiawei Xu, Jianguo Chen, Lei Yang [...]

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2025

An accurate tool wear prediction method based on machining feature informed data for NC machining of complex aircraft parts

Jiaqi Hua, Yingguang Li, Zebiao Chen [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2026-5

Tool wear monitoring based on signal feature fusion and deep learning

Liyao Zhou, Wang Yugang, Jiarui Qin [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2026

Vibration-based turning tool wear classification using time- and frequency-domain features and SVM–RFE

Sunardi, Muhammad Ilham Firmansyah, Berli Paripurna Kamiel [...]

Noise & Vibration Worldwide

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Research article

First published 2024-7

Deep multi-task network based on sparse feature learning for tool wear prediction

Jianliang He, Chen Yin, Yan He [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2019-11

An intelligent monitoring system of grinding wheel wear based on two-stage feature selection and Long Short-Term Memory network

Weicheng Guo, Beizhi Li, Qinzhi Zhou

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2026-3

PDC-SWM-LPF: A novel feature extraction method for on-board detection of wheel polygonal wear

Hechao Zhou, Zhennan Cai, Jimin Zhang

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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