Predictive Maintenance: A Comprehensive Analysis and Future Outlook
M. G. Patel, Jalpesh Vasa, Bimal Patel
Abstract
Predictive maintenance (PdM), a maintenance strategy that uses data analytics and cutting-edge technology to predict equipment failures before they occur. The paper explains how PdM works, the importance of sensors, and the tools that form the backbone of PdM. The paper also explores the limitations of PdM and the importance of reliability- centered maintenance (RCM). The advantages of PdM include reducing downtime, reducing operating costs, and optimizing efficiency. However, the paper also highlights the challenges of PdM, such as concerns about data quality, the need for initial investment, and the need to train skilled workers. Looking ahead, the paper discusses how PdM will blend with Industry 4.0, bringing forth a manufacturing revolution through factories and digital twin technology. The paper concludes that PdM will extend its influence to sectors like healthcare, transportation, and energy, guaranteeing the dependability of vital systems in these domains.