Attila Frankó and Pál Varga

A Survey on Machine Learning based Smart Maintenance and Quality Control Solutions

Machine learning aided tasks and processes have key roles in smart manufacturing, especially in controlling production and assembly lines, as well as smart maintenance and intelligent quality control. The last two ones are those tasks that nowadays are still performed manually by employees; however, there are numerous machine learning-based solutions that can automate these fields to optimize cost and performance. In this paper, we present an overview of smart manufacturing ecosystem and define the roles of maintenance and quality control in it. Up-to-date machine learning-based smart solutions will also be detailed while addressing current challenges and identifying hot research topics and possible gaps.

Reference:

DOI: 10.36244/ICJ.2021.4.4

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Please cite this paper the following way:

Attila Frankó and Pál Varga, "A Survey on Machine Learning based Smart Maintenance and Quality Control Solutions", Infocommunications Journal, Vol. XIII, No 4, December 2021, p. 28-35., https://doi.org/10.36244/ICJ.2021.4.4

 

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National Cooperation Fund, Hungary