Application
Can provide Online monitoring for Transformer/GIS (>10kV).
Main Function
Locate Partial Discharge
Identify Partial Discharge type
Identify mechanical fault type
Sensor
UHF sensor * 4
HFCT sensor * 4
Ultra-SonicSensor * 4
VibrationSensor * 2
Sonic Sensor * 2
Customization of sensors qty supported
Theory
Mechanical fault type detection: based on the measurement data of the vibration sensor/sonic sensor, the big-data core of software will determine the mechanical fault type including: External noise, fan motor aging, overloading, internal loosening, external discharge, DC bias.
Partial Discharge typedetection: based on the measurement data of the UHF/HFCT sensor, the big-data core of software will determine the PD type including: Corona, Floating, Insulating.
Partial DischargeLocalization: based on the timestamp difference of the electrical sensor and Ultra sonic sensor, the distance between the partial discharge location and the ultra-sonic sensor position can be calculated, and be on the PD relative distance to multiple ultrasonic sensors, the Partial Discharge can located.