Predictive Maintenance 4.0: Transforming Industry through IoT Innovations

Predictive maintenance (PdM) in Industrial Internet of Things (IIoT) is revolutionizing the way industries manage equipment health and operational efficiency. By leveraging real-time sensor data, machine learning algorithms, and advanced analytics, PdM enables proactive identification of potential failures before they occur. This approach minimizes unplanned downtime, optimizes maintenance schedules, and reduces operational costs. IIoT-based predictive maintenance integrates edge computing, cloud platforms, and artificial intelligence to process large-scale industrial data, facilitating intelligent decision-making. Key challenges include data security, scalability, and integration with legacy systems. This paper examines the architecture, methodologies, and benefits of predictive maintenance in Industrial Internet of Things (IIoT), highlighting its transformative impact on industrial automation and reliability.

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Publication Details

Published
2025-05-01
DOI
https://doi.org/10.38124/ijisrt/25apr1169
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Predictive Maintenance 4.0: Transforming Industry through IoT Innovations

Sandeep K. Sood, Tarandeep Kaur, Jasmine
Quality and Safety in Healthcare
article

Predictive Maintenance 4.0: Transforming Industry through IoT Innovations

Sandeep K. Sood, Tarandeep Kaur, Jasmine
article en

Abstract

Predictive maintenance (PdM) in Industrial Internet of Things (IIoT) is revolutionizing the way industries manage equipment health and operational efficiency. By leveraging real-time sensor data, machine learning algorithms, and advanced analytics, PdM enables proactive identification of potential failures before they occur. This approach minimizes unplanned downtime, optimizes maintenance schedules, and reduces operational costs. IIoT-based predictive maintenance integrates edge computing, cloud platforms, and artificial intelligence to process large-scale industrial data, facilitating intelligent decision-making. Key challenges include data security, scalability, and integration with legacy systems. This paper examines the architecture, methodologies, and benefits of predictive maintenance in Industrial Internet of Things (IIoT), highlighting its transformative impact on industrial automation and reliability.

Openalex Percentile: Top 82%
Quality and Safety in Healthcare
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