Predictive Maintenance (PdM) provides users with a capability of monitoring equipment condition using AI and analytics including root cause analysis, anomaly detection, and remaining useful life prediction. It will help users to reduce both unnecessary and unplanned downtime and perform predictive maintenance only when it is needed.
The maintenance dashboard shows an overview of shopfloor with machine position and status on a map. This information is useful for maintenance manager and operator to have a better picture of the maintenance activities.
PdM root cause analysis provides users to easily identify the root cause of failures based on machine fault data via OPC-UA/MQTT. This page visualizes the number and portion of faults in the selected machine, so that users can focus on the major fault of the machine.
With the IIoT sensor data and AI model, the maintenance manager is able to estimate the remaining useful life of their critical equipment. This enables the maintenance manager to execute a cost-effective predictive maintenance program to minimize unscheduled downtime.