?The system can measure the discharge amount, discharge phase, and discharge times. The discharge point pulse resolution is less than 10μs, and relevant statistical parameters can be provided according to customer requirements;

?The system can display power frequency periodic discharge diagrams, two-dimensional (Q-φ, N-φ, N-Q) and three-dimensional (N-Q-φ) discharge spectra;

??The system has accumulated 56 characteristic quantities extracted from the discharge spectra, and uses adaptive genetic algorithms and artificial neural network algorithms for pattern recognition. Through the accumulation of experience values, several typical partial discharge types inside the transformer can be pattern recognized.

?Provides multiple functions such as discharge development trend analysis, alarm setting, historical query, and report printing;

??The system can automatically start monitoring at a fixed time to realize the automation of the entire monitoring process, and can also manually start and shut down the monitoring system in real time;

??This system uses high-frequency filtering detection technology to reduce the sampling frequency, and can collect the amplitude and discharge position of the signal at a rate of 100Mbps, ensuring the measurable accuracy of the system and greatly reducing the technical requirements and difficulty of hardware.

? Recover the gas in electrical equipment;?

??IED collector channel: 2 or 4?channels

??IED collector data collection frequency: 100M

??IED collector operating system: Linux embedded operating system

??IED CPU operating frequency: 1.2GHz

??IED collector channel interface: LAN network port

??IED collector running memory: 512M

??IED collector storage memory: 256M

??IED collector working power supply: AC180-250V, frequency: 50/60Hz

??HFCT sensor:

??Frequency range: 0.5-50MHz

??Error: ±1dB

?Transmission impedance: 15mV/1mA

?Dynamic range: 60dB

??Measurement range: 0-5000mV

??Accuracy: 1dB