A solution provider to the rail industry produces an automated condition monitoring application for rail switches to improve maintenance efficiency and to reduce operations interruptions. Their application centrally tracks the operations of many geographically distributed rail switches and helps operators manage maintenance activities. The application collects telemetry data from remote switches that includes switch events, ambient weather conditions, and motor current traces during the switch events.
A key function of the application is to classify the state of a switch based on an engineering analysis of motor current trace data. This state would guide users as to when a maintenance intervention would be required. Their challenge is that the effort to build models is quite high. Each model requires detailed analysis by skilled engineers of trace data for many events.