A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS

Main Article Content

DRAGOS-ALEXANDRU ANDRIOAIA
VASILE GHEORGHITA GAITAN

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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How to Cite
ANDRIOAIA, D.-A., & GAITAN, V. G. (2024). A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS. Journal of Engineering Studies and Research, 29(4), 17-23. https://doi.org/10.29081/jesr.v29i4.002
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Articles
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