Health at a glance: OECD indicators

Unplanned downtime in industries poses significant challenges, affecting production efficiency and profitability. To address this issue, companies strive to optimize operations and minimize disruptions that hinder meeting customer demands and financial targets. Predictive maintenance, utilizing advanced technologies such as data analytics, machine learning, and IoT devices, enables real-time monitoring and analysis of equipment data. This study focuses on training an adaptable machine-learning model for predicting faults in induction motors in industrial settings. By implementing such a model, proactive maintenance can be facilitated, leading to reduced downtime in industrial operations. A dataset containing…