Which IIoT application focuses on monitoring equipment to prevent failures during normal operations?

Predictive maintenance is centered around monitoring equipment and machinery through data analytics to forecast potential failures before they occur. This approach utilizes real-time data from various sensors and IoT systems to identify patterns that might indicate an impending malfunction. By analyzing historical and operational data, predictive maintenance allows organizations to take proactive measures—such as scheduling repairs or maintenance—thus minimizing unexpected downtimes and enhancing operational efficiency.

In contrast, preventive maintenance is scheduled based on time intervals or usage metrics, rather than real-time data analysis. Corrective maintenance happens after a failure occurs, addressing issues only post-factum. Reactive maintenance signifies a highly unplanned response to breakdowns, which can lead to longer outages and increased costs. Therefore, predictive maintenance stands out as a forward-thinking strategy in the context of IIoT applications aimed at ensuring equipment reliability and longevity.