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All Journal Journal of Systems Engineering and Information Technology
Maksim Andreevich Kovito
Department of Informatics, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, Russia
Computer Science & IT

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Fault Detection of Mechanical Equipment Failure Detection Using Intelligent Data Analysis Maksim Andreevich Kovito
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 1 No 2 (2022): September 2022
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.325 KB) | DOI: 10.29207/joseit.v1i2.4943

Abstract

Poor maintenance of machinery in manufacturing plants has always been an important link in the production process. In addition to computer technology, artificial intelligence technologies and various intelligent sensors are widely used in manufacturing industries. The amount of data generated by production machines and equipment at all stages of the production process is also growing rapidly, and it is particularly important to analyze the data generated by these devices in order to detect and even predict malfunctions. Intelligent data mining provides advanced data analysis techniques for this purpose. This article introduces the basic concepts of data mining, its processes, the main data mining technologies, and provides recommendations for applying data mining to detect failures in devices.
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