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Inventions 2018, 3(3), 41; https://doi.org/10.3390/inventions3030041

A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools

Department of Mechanical Engineering, National Chung Hsing University, Taichung 40227, Taiwan
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Received: 19 April 2018 / Revised: 8 June 2018 / Accepted: 26 June 2018 / Published: 27 June 2018
(This article belongs to the Special Issue Selected Papers from ICI2017 and Spintech Thesis Awards)
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Abstract

This paper offers a review of the artificial intelligence (AI) algorithms and applications presently being used for smart machine tools. These AI methods can be classified as learning algorithms (deep, meta-, unsupervised, supervised, and reinforcement learning) for diagnosis and detection of faults in mechanical components and AI technique applications in smart machine tools including intelligent manufacturing, cyber-physical systems, mechanical components prognosis, and smart sensors. A diagram of the architecture of AI schemes used for smart machine tools has been included. The respective strengths and weaknesses of the methods, as well as the challenges and future trends in AI schemes, are discussed. In the future, we will propose several AI approaches to tackle mechanical components as well as addressing different AI algorithms to deal with smart machine tools and the acquisition of accurate results. View Full-Text
Keywords: artificial intelligence; smart machine tools; learning algorithms; intelligent manufacturing; fault diagnosis and prognosis artificial intelligence; smart machine tools; learning algorithms; intelligent manufacturing; fault diagnosis and prognosis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Chang, C.-W.; Lee, H.-W.; Liu, C.-H. A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools. Inventions 2018, 3, 41.

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