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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM33067

THE IMPACT OF AI-POWERED PREDICTIVE MAINTENANCE ON INDUSTRIAL EQUIPMENT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM33067

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM33067

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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AM

AMAN MANI

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Abstract

This research paper explores the impact of AI-powered predictive maintenance on industrial equipment. Predictive maintenance is crucial for minimizing downtime and optimizing asset performance. AI has made maintenance more proactive, efficient, and cost-effective. The paper reviews maintenance practices, the evolution of predictive techniques, and AI integration. Through literature review and case studies, it examines efficacy, challenges, and implications of AI-powered maintenance. Findings highlight benefits such as enhanced efficiency, cost reduction, and extended equipment lifespan. Challenges include data quality, model accuracy, and organizational readiness. The paper concludes with recommendations for practitioners and policymakers, emphasizing AI’s potential to revolutionize maintenance and foster a sustainable future.

KEYWORDS

Predictive maintenance AI-powered maintenance Industrial equipment Maintenance efficiency Asset performance optimization Data quality

Cite This Article

AMAN MANI, "THE IMPACT OF AI-POWERED PREDICTIVE MAINTENANCE ON INDUSTRIAL EQUIPMENT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM33067

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12/31/45416

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