IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence

• Author(s): Aadit Sharma ; Bolaji Iyanu Adekunle ; Jeffrey Chidera Ogeawuchi ; Abraham Ayodeji Abayomi ; Omoniyi Onifade
• Paper ID: 1708643
• Page: 270-279
• Published Date: 16-04-2024
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 12 June-2019

Abstract

The advent of the Internet of Things (IoT) has significantly transformed maintenance strategies for mechanical systems, transitioning from reactive and preventive approaches to intelligent, predictive maintenance frameworks. This paper explores the integration of IoT technologies—specifically sensor networks, edge computing, and cloud infrastructure—into mechanical system monitoring to enable real-time diagnostics and failure prediction. It outlines the evolution of maintenance strategies and highlights how embedded sensing and continuous data collection are foundational to predictive analytics. Through detailed examination of system architecture, communication protocols, and machine learning methodologies, the paper illustrates how predictive models and digital twins enhance fault detection, equipment longevity, and resource allocation. Case studies demonstrate quantifiable operational benefits, including reduced unplanned downtime and cost savings. The strategic and organizational implications are analyzed, emphasizing workforce transformation, implementation barriers, and cybersecurity considerations. Ultimately, this study presents a comprehensive framework for implementing IoT-enabled predictive maintenance and suggests future research directions centered on AI convergence, system interoperability, and sustainability in industrial operations.

Keywords

Predictive Maintenance, Internet of Things (IoT), Mechanical Systems, Real-time Monitoring, Digital Twins, Operational Efficiency

Citations

IRE Journals:
Aadit Sharma , Bolaji Iyanu Adekunle , Jeffrey Chidera Ogeawuchi , Abraham Ayodeji Abayomi , Omoniyi Onifade "IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence" Iconic Research And Engineering Journals Volume 2 Issue 12 2019 Page 270-279

IEEE:
Aadit Sharma , Bolaji Iyanu Adekunle , Jeffrey Chidera Ogeawuchi , Abraham Ayodeji Abayomi , Omoniyi Onifade "IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence" Iconic Research And Engineering Journals, 2(12)