A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS

Authors

  • DRAGOS-ALEXANDRU ANDRIOAIA
  • VASILE GHEORGHITA GAITAN

DOI:

https://doi.org/10.29081/jesr.v29i4.002

Keywords:

predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning

Abstract

Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of maintenance operations to keep assets functional. In this paper, the authors perform an analysis of predictive maintenance system, proposed in the specialized literature, highlighting their component elements.

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Author Biographies

  • DRAGOS-ALEXANDRU ANDRIOAIA

    Stefan cel Mare University of Suceava, 13 University Street, Suceava, 720229, Romania

  • VASILE GHEORGHITA GAITAN

    Stefan cel Mare University of Suceava, 13 University Street, Suceava, 720229, Romania

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Published

2024-03-07

Issue

Vol. 29 No. 4 (2023): Journal of Engineering Studies and Research

Section

Articles

How to Cite

A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS. (2024). Journal of Engineering Studies and Research, 29(4), 17-23. https://doi.org/10.29081/jesr.v29i4.002

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