UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 11
November-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2411520


Registration ID:
551451

Page Number

f192-f196

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Title

Industrial IoT Machine Learning

Abstract

The use of predictive maintenance Machine learning techniques aid systems or machines in lowering the occurrence of certain types of machine failures via prediction and the use of specific methods. An essential tactic for improving the efficiency and reliability of industrial equipment and optimizing maintenance operations is predictive maintenance (PdM). Machine learning-based predictive maintenance helps businesses reduce unscheduled downtime, maintenance expenses, and operational efficiency by identifying and fixing potential equipment issues in advance.

Key Words

Machine Learning, Jupiter, Proactive, Nonintrusive, Vibration, and Predictive Maintenance.

Cite This Article

"Industrial IoT Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f192-f196, November-2024, Available :http://www.jetir.org/papers/JETIR2411520.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Industrial IoT Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf192-f196, November-2024, Available at : http://www.jetir.org/papers/JETIR2411520.pdf

Publication Details

Published Paper ID: JETIR2411520
Registration ID: 551451
Published In: Volume 11 | Issue 11 | Year November-2024
DOI (Digital Object Identifier):
Page No: f192-f196
Country: Tiruvarur, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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