Implementing Predictive Maintenance in Industry 4.0 with Thingworx Platform

Authors: Ashok Kumar Kalyanam

DOI: https://doi.org/10.5281/zenodo.14535525

Short DOI: https://doi.org/g8wjn5

Country: USA

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Abstract: Predictive maintenance has revolutionized industrial operations with the integration of Industry 4.0 through smarter, more efficient, and preventive maintenance strategies. This approach utilizes IoT-enabled platforms like Thing Worx for real-time data collection, advanced analytics, and remote monitoring to foresee equipment failures before they occur. The article discusses an approach that could be used in the implementation of predictive maintenance using ThingWorx, starting from data acquisition and analysis to applying the gained insight. With this strategy, industries will reduce downtime, extend equipment life, and improve operational efficiency. Further, this translates to a cost reduction for the customer due to reduced maintenance costs, system reliability, and increased productivity. Additionally, evaluation of practical implementations of Industry 4.0 solutions, highlighting real-world applications of augmented reality and IoT in industrial settings, highlighting their effectiveness in optimizing processes.

Keywords: Industry 4.0, Predictive Maintenance, Thingworx, IoT, Equipment Management, Data Analytics, Real-time Monitoring, Augmented Reality, Industrial Automation.

Paper Id: 231871

Published On: 2020-05-05

Published In: Volume 8, Issue 3, May-June 2020

Cite This: Implementing Predictive Maintenance in Industry 4.0 with Thingworx Platform - Ashok Kumar Kalyanam - IJIRMPS Volume 8, Issue 3, May-June 2020. DOI 10.5281/zenodo.14535525

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