Journal of Internet of Things and Information Technology ISSN: 3107-4502 (Online)

Authors:Kajal Singh, Ashok Tayal

Abstract:The rapid growth of the Internet of Things (IoT) has revolutionized various industries by enabling the connection and communication of devices and machines. One of the most significant applications of IoT in industries is predictive maintenance, a strategy that leverages data analytics to anticipate equipment failures and optimize maintenance schedules. This paper presents an in-depth exploration of IoT data analytics for predictive maintenance in industrial applications. It discusses the importance of predictive maintenance, the role of IoT in collecting relevant data, data analytics techniques used for predictive maintenance, challenges in implementation, and real-world case studies that demonstrate the efficacy of the approach.

Keywords-:Predictive Maintenance, Internet of Things (IoT), Data Analytics, Industrial Applications, Equipment Failure, Sensor Data, Real-time Monitoring, Anomaly Detection, Machine Learning, Edge Computing, Digital Twins, Condition-Based Monitoring, Maintenance Strategies