Predictive Maintenance in Industrial IoT: Harnessing the Power of AI

Abstract

The purpose of this paper is to investigate the prospects for improved activity in predictive maintenance (PdM) among artificial intelligence (AI) techniques like machine learning and deep learning within the Industrial Internet of Things(IIoT). Anomaly detection Failure prediction Maintenance scheduling using AI-driven models. We also talk through the challenges and solutions for deploying AI at scale in an industrial environment, such as data quality/compute resources/scalability. Our results prove that AI is capable of enhancing the accuracy and dependability of today's PdM systems, resulting in significant operational efficiency and cost savings within an industrial environment.