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Open Access Journal Article

Predictive Maintenance Using IoT Data Analytics

by Olivia Johnson 1,*
1
Olivia Johnson
*
Author to whom correspondence should be addressed.
MAD  2022 4(1):29; https://doi.org/10.69610/j.mad.20220422
Received: 25 February 2022 / Accepted: 25 March 2021 / Published Online: 22 April 2022
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Abstract

The rapid advancements in the Internet of Things (IoT) technology have revolutionized the way industries approach maintenance strategies. This paper delves into the concept of predictive maintenance, which harnesses IoT data analytics to predict and prevent equipment failures before they occur. By integrating sensors, data collection, and advanced analytics, predictive maintenance ensures increased operational efficiency, cost savings, and improved safety. The study examines the role of IoT in collecting vast amounts of data from various sources, including sensors and smart devices, which are then analyzed to detect anomalies and predict potential failures. The paper further explores different machine learning techniques and predictive models applied in the field to enhance the accuracy of maintenance predictions. In conclusion, predictive maintenance using IoT data analytics represents a promising approach to optimize maintenance processes, reduce downtime, and drive continuous improvement in industrial operations.

Keywords: Predictive Maintenance; IoT Data Analytics; Machine Learning; Equipment Failure Prediction; Industrial Operations Optimization.;
Copyright: © 2022 by Johnson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Johnson, O. (2022). Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision, 4(1), 29. doi:10.69610/j.mad.20220422
ACS Style
Johnson, O. Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision, 2022, 4, 29. doi:10.69610/j.mad.20220422
AMA Style
Johnson O. Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision; 2022, 4(1):29. doi:10.69610/j.mad.20220422
Chicago/Turabian Style
Johnson, Olivia 2022. "Predictive Maintenance Using IoT Data Analytics" Management Analytics and Decision 4, no.1:29. doi:10.69610/j.mad.20220422

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ACS Style
Johnson, O. Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision, 2022, 4, 29. doi:10.69610/j.mad.20220422
AMA Style
Johnson O. Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision; 2022, 4(1):29. doi:10.69610/j.mad.20220422
Chicago/Turabian Style
Johnson, Olivia 2022. "Predictive Maintenance Using IoT Data Analytics" Management Analytics and Decision 4, no.1:29. doi:10.69610/j.mad.20220422
APA style
Johnson, O. (2022). Predictive Maintenance Using IoT Data Analytics. Management Analytics and Decision, 4(1), 29. doi:10.69610/j.mad.20220422

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