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LITERATURE REVIEW ON PREDICTIVE MAINTENANCE BASED ON DIGITAL TWINS AND ITS APPLICATION IN INTELLIGENT MANUFACTURING

Sultan Nebras   (PhD student, Moscow State Technological University "STANKIN")

Petrov Valery Evgenievich  ( PhD., Associate Professor, Moscow State Technological University "STANKIN", teacher)

The rapid development in the manufacturing industries makes predictive maintenance more important, as traditional predictive maintenance cannot meet the current stage's needs in many cases. With the increasing introduction of digital twins in the industry, predictive maintenance based on digital twins has become a very significant research point in the manufacturing sector. This article presents research on the general methods of digital twin technology and predictive maintenance technology. It analyzes the research gap between them and highlights the importance of using digital twin technology to achieve predictive maintenance. Secondly, this article presents the application of digital twins in smart manufacturing and discusses the limitations, challenges, and opportunities for increasing reliance on digital twins in predictive maintenance.

Keywords:Digital twins, Predictive maintenance, Fault prediction, Smart manufacturing, Fault diagnosis
 

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Citation link:
Sultan N. , Petrov V. E. LITERATURE REVIEW ON PREDICTIVE MAINTENANCE BASED ON DIGITAL TWINS AND ITS APPLICATION IN INTELLIGENT MANUFACTURING // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№07/2. -С. 173-179 DOI 10.37882/2223–2966.2024.7-2.33
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