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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42374

Predictive Maintenance: Evolution, Purposes and Approaches for Industrial Systems - A Comprehensive Review

Stream/Area:

-

Subject:

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Paper ID:

IJSREM42374

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42374

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PJP

Punam J. Patil

DPHZ

Dr. Pankaj H. Zope

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Abstract

This paper highlights the importance of maintenance techniques in the coming industrial revolution, reviews the evolution of maintenance techniques, and presents a comprehensive literature review on the latest advancement of maintenance techniques, i.e., Predictive Maintenance (PdM), with emphasis on system architectures, optimization objectives and approaches. Predictive Maintenance (PdM) has emerged as a transformative approach in the realm of industrial maintenance, particularly in process plants. By leveraging advanced technologies like IoT, AI, and machine learning, PdM enables proactive identification and resolution of potential equipment failures, significantly reducing downtime, optimizing resource allocation, and enhancing overall operational efficiency. This paper provides a comprehensive review of PdM, exploring its evolution, key technologies, benefits, challenges, and future trends.

KEYWORDS

PdM AI Iot

Cite This Article

Punam J. Patil, Dr. Pankaj H. Zope, "Predictive Maintenance: Evolution, Purposes and Approaches for Industrial Systems - A Comprehensive Review," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42374

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Publication Date

3/14/2025

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Double-Blind Peer Review

Review Rounds: 2

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