NRG Systems has expanded its offerings to the wind energy operations and maintenance segment. Its patented TurbinePhD system monitors the health of turbine components for more cost-effective operations and maintenance.
The system borrows technology from the aerospace industry to diagnose early-stage wear. Condition-monitoring systems use sensors to detect component faults, allowing maintenance professionals to avoid equipment failure. TurbinePhD uses digital signal processing techniques to detect component wear before it escalates into a fault. Smart sensors with embedded processors use algorithms to diagnose problems and then transmit that data to a secure website, where the maintenance professional can see easily-understood turbine health indicators (THI) for each component and drill down to view all of the supporting data. NRG Systems is finalizing beta installation of the TurbinePhD system and expects to release the product this summer.
The system borrows technology from the aerospace industry to diagnose early-stage wear. Condition-monitoring systems use sensors to detect component faults, allowing maintenance professionals to avoid equipment failure. TurbinePhD uses digital signal processing techniques to detect component wear before it escalates into a fault. Smart sensors with embedded processors use algorithms to diagnose problems and then transmit that data to a secure website, where the maintenance professional can see easily-understood turbine health indicators (THI) for each component and drill down to view all of the supporting data. NRG Systems is finalizing beta installation of the TurbinePhD system and expects to release the product this summer.