Predictive Maintenance and Data Analytics: Current Insights

In the era of Industry 5.0, marked by interconnectedness and smart technologies, the dependable functioning of machinery is of utmost importance. Predictive maintenance and data analytics are pivotal in proactively identifying and resolving machinery failures. Despite previous research emphasising their significance, there remains a gap in synthesising current insights. This review aims to fill that gap by examining the current state of predictive maintenance and data analytics. It seeks to uncover their functionalities, tools, and applications in anticipating and mitigating machinery failures. With a systematic approach, including a comprehensive literature search and analysis, this review aims to provide a better understanding of the subject. The outcomes include critical insights into these methodologies, guiding businesses, and researchers. Moreover, the review identifies gaps in existing literature and proposes future research. The study concludes that predictive maintenance and data analytics could enhance machinery reliability.