Every hour of unplanned machine downtime can cost manufacturers up to $260,000 in lost production. Even short outages can delay deliveries, reduce customer satisfaction, and negatively impact the bottom line. To stay competitive, companies are constantly seeking solutions to avoid ineffective maintenance routines, driving a growing demand for replacing traditional scheduled maintenance practices with IoT predictive maintenance. This presentation will explore the fundamentals of predictive maintenance, its benefits, and how this innovative technology works.

• Utilizes connected sensors to monitor the condition of production equipment, predicting the optimal maintenance time before failures occur.
• Proactive equipment fixes save millions, improve operating efficiencies, extend equipment lifetime, increase production yield, and ensure employee safety.
• Sensors capture critical data such as temperature, vibration, and current, which is sent to the network edge or cloud for analysis. The system generates thresholds and sends alerts when anomalies are detected.