The system utilizes Artificial Intelligence methodologies to detect and determine the faults, fault locations, and the extent of faults in gearboxes and generators.
Through IoT communications and pressure vibration sensors, it can select and extract optimal feature values for subsequent server or cloud processing.
This enhances the accuracy and reliability of fault diagnosis, pre-diagnosis, and remaining life estimation of wind turbines, with an expected false alarm rate of one in ten thousand.
Actual Case
TCC Green Energy Zhangbin Plant V105-3.5MW Wind Turbine Transmission Chain Damage
Resulting in a loss of power generation for 5 monthsHardware replacement cost: 15 million TWD
Our core operations span the maintenance and operation of wind farms as well as monitoring of wind turbine assemblies.
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