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Research article

First published 2004-8

Tool wear monitoring—an intelligent approach

Ch Srinivasa Rao, R. R. Srikant

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

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Research article

First published 2006-2

Tool Wear Monitoring Based on a Non-Monotonic Signal Feature

K Jemielniak

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

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Research article

First published 2015-8

Oil debris monitoring in misaligned spline couplings subjected to fretting wear

Vincenzo Cuffaro, Francesca Curà, Andrea Mura

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

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Research article

First published 2022-1

A new approach to monitor wear tracks propagation on-site with electromechanical impedance technique

Mesut Tekkalmaz, Ümit Er, Fatih Hayati Çakir [...]

Journal of Intelligent Material Systems and Structures

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Research article

First published 2024-7

A comparative study of force models in monitoring the flank wear using the cutting force coefficients

Huan Luo, Zhao Zhang, Ming Luo [...]

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

Open access

Research article

First published 2020-5

Indirect online tool wear monitoring and model-based identification of process-related signal

Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Thanassis Souflas

Advances in Mechanical Engineering

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Research article

First published 2023-9

A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems

Ke Feng, Qing Ni, Yuejian Chen [...]

Structural Health Monitoring

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Research article

First published 2006-8

Development of a system for monitoring tool wear using artificial intelligence techniques

R G Silva, S J Wilcox, R L Reuben

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

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Research article

First published 2025

Acoustic monitoring of tool wear state with limited samples based on time-series generative adversarial network

Xinhang Shang, Honggen Zhou, Guochao Li [...]

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

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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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