One Big Circle explains how AIVR machine learning detects track, conductor rail, OLE and signalling faults across the network.

Traditional reactive maintenance often led to unexpected outages and safety hazards due to lack of real-time data. Condition monitoring utilizes sensors and analytics to continuously assess equipment ...

Access monitoring is exactly what it sounds like — monitoring user access to network resources, critical data, and high-risk access points. Access monitoring, which can include real-time monitoring, ...

The hydropower industry stands at a critical juncture where traditional operation and maintenance are quickly becoming obsolete. As global energy demand surges and grid systems become increasingly ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

When fully utilized, condition monitoring can transform how power plants operate and maintain their assets. It can lead to increased efficiency, reduced maintenance costs, improved safety, and better ...

Are you looking for ways to minimize downtime in the facilities you manage or design? Would you like enhanced awareness of what is happening in your system? Condition-based monitoring (CBM) may be the ...