Predictive Maintenance using Machine Learning in Industrial IoT


Authors : Jesu Narkarunai Arasu Malaiyappan; Gowrisankar Krishnamoorthy; Suhas Jangoan

Volume/Issue : Volume 9 - 2024, Issue 3 - March

Google Scholar : https://tinyurl.com/563kkurd

Scribd : https://tinyurl.com/yeshrbyd

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR984

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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.

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

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.

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

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