The detector combines multiple detection technologies, has high sensitivity, and supports intelligent operation and cloud technology to improve on-site detection efficiency.

The Mega Portable Partial Discharge Detection, Diagnosis and Location Instrument is designed to measure partial discharge signals in the insulation of high voltage equipment.

The GIS partial discharge online monitoring system consists of partial discharge monitoring IEDs, UHF partial discharge sensors and expert analysis software.

The mega transformer status comprehensive monitoring device obtains multiple key parameters of the transformer operation status in real time, including dissolved gas in oil, core and clamp grounding current, UHF/RF/HFCT/ultrasonic partial discharge, acoustic wave vibration, infrared temperature measurement, dynamic load and bushing status monitoring. It can comprehensively monitor the transient sudden faults and slowly developing latent faults inside the transformer to ensure the safe and stable operation of the transformer.

The system adopts a joint detection method of sound, electromagnetic and image, that is, by simultaneously detecting the UHF signal, transient earth voltage (TEV, ground wave) and ultrasonic signal generated by partial discharge, it realizes real-time monitoring and analysis of the insulation status of the switch cabinet. The SAW wireless passive temperature sensor based on surface acoustic wave technology is used to monitor the temperature of the contact and busbar connection point; the high-frequency sensor HFCT is used to detect the partial discharge signal inside the cable joint; and the image comparison is used to identify the position status of the gate contact of the visible break of the isolation switch. Potential faults are predicted through various means, and they are checked and repaired in advance.

The system adopts a joint detection method of sound, electromagnetic and image, that is, by simultaneously detecting the UHF signal, transient earth voltage (TEV, ground wave) and ultrasonic signal generated by partial discharge, it realizes real-time monitoring and analysis of the insulation status of the switch cabinet. The SAW wireless passive temperature sensor based on surface acoustic wave technology is used to monitor the temperature of the contact and busbar connection point; the high-frequency sensor HFCT is used to detect the partial discharge signal inside the cable joint; and the image comparison is used to identify the position status of the gate contact of the visible break of the isolation switch. Potential faults are predicted through various means, and they are checked and repaired in advance.