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Research article

First published 2001-4

Exploration of contact conditions in machining

B Ackroyd, N S Akcan, P Chhabra [...]

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

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Research article

First published 2024-9

Condition monitoring of a CNC hobbing cutter using machine learning approach

Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi [...]

Advances in Mechanical Engineering

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Research article

First published 2013-7

Improving the dependability of DC point machines with a novel condition monitoring system

Tomotsugu Asada, Clive Roberts

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

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Research article

First published 1997-6

Classification of the rotating machine condition using artificial neural networks

A C McCormick, A K Nandi

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

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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 2016-2

Machine learning approaches for improving condition-based maintenance of naval propulsion plants

Andrea Coraddu, Luca Oneto, Aessandro Ghio [...]

Proceedings of the Institution of Mechanical Engineers,Part M: Journal of Engineering for the Maritime Environment

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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 2025

Development of machine fault simulator for fault identifications of bevel gearbox by using condition indicator parameters

Sheo Kumar, Praveen Kumar Agarwal

Noise & Vibration Worldwide

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Research article

First published 2023-3

Prediction of air compressor condition using vibration signals and machine learning algorithms

Aravinth S, Sugumaran V

Journal of Vibration and Control

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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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