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Research article

First published 2017-4

Tool condition monitoring system based on support vector machine and differential evolution optimization

Guo F Wang, Qing L Xie, Yan C Zhang

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

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Research article

First published 2012-11

A support vector machine-based online tool condition monitoring for milling using sensor fusion and a genetic algorithm

Bulent Kaya, Cuneyt Oysu, Huseyin M Ertunc [...]

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

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Research article

First published 2018-1

Progressive tool condition monitoring of end milling from machined surface images

Samik Dutta, Surjya K Pal, Ranjan Sen

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

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Research article

First published 2020-3

Tool wear condition monitoring based on wavelet transform and improved extreme learning machine

Soufiane Laddada, Med. Ouali Si-Chaib, Tarak Benkedjouh [...]

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

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Research article

First published 2007-2

Machine tool condition monitoring using sweeping filter techniques

W Amer, R Grosvenor, P Prickett

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

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Research article

First published 2000-7

Assessment of machining features for tool condition monitoring in face milling using an artificial neural network

R K Dutta, G Kiran, S Paul [...]

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

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Research article

First published 2001-2

The development of an on-line milling cutter tooth breakage detection system

P W Prickett, C Johns

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

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Research article

First published 1999-2

Detection of tooth breakage in end milling using machine tool axis control signals

C Johns, P W Prickett

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

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Research article

First published 2025-7

Laser scribed aluminum-polytetrafluoroethylene-based triboelectric nanogenerator as a self-energized vibration sensor for machine tool condition monitoring

Kaushik Savaniya, Sooraj Shiby, Diksha Jaurker [...]

Journal of Intelligent Material Systems and Structures

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Research article

First published 1998-5

Smart machine tools

J Corbett

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

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