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Fractal analysis application outlook for improving process monitoring and machine maintenance in manufacturing 4.0

Xavier Rimpault, Marek Balazinski and Jean-François Chatelain

Article (2018)

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Industry 4.0 has been advertised for a decade as the next disruptive evolution for production. It relies on automation growth and particularly on data exchange using numerous sensors in order to develop faster production with tight monitoring. The huge amount of data generated by clouds of sensors during production is often used to feed machine learning systems in order to detect faults, monitor and find possible ways for improvement. However, the artificial intelligence within machine learning requires finding and selecting key features, such as average and root mean square. While current machine learning has already proven its use in diverse applications, its efficiency could be further improved by generating better characteristics such as fractal parameters. In this paper, fractal analysis concept is presented and its current and future applications in machining are discussed. This sensitive and robust technique is already extracting high performance key features that could fill in monitoring and prediction systems. On top of improving features selection and, thus, improving the overall performance of monitoring and predictive systems in machining, this could lead to a more rapid artificial intelligence implementation into manufacturing.

Uncontrolled Keywords

fractal analysis ; machining ; process monitoring ; maintenance ; sensor

Subjects: 1700 Design and manufacturing > 1702 Advanced manufacturing
Department: Department of Mechanical Engineering
PolyPublie URL: https://publications.polymtl.ca/5113/
Journal Title: Journal of Manufacturing and Materials Processing (vol. 2, no. 3)
Publisher: MDPI
DOI: 10.3390/jmmp2030062
Official URL: https://doi.org/10.3390/jmmp2030062
Date Deposited: 24 Feb 2023 09:08
Last Modified: 06 Apr 2024 12:51
Cite in APA 7: Rimpault, X., Balazinski, M., & Chatelain, J.-F. (2018). Fractal analysis application outlook for improving process monitoring and machine maintenance in manufacturing 4.0. Journal of Manufacturing and Materials Processing, 2(3), 62 (7 pages). https://doi.org/10.3390/jmmp2030062


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