




The LH2402 Switchgear Partial Discharge Intelligent Monitoring Unit is suitable for gas-insulated switchgear with a voltage level of 40.5kV and below. It can real-time monitor basic partial discharge parameters such as discharge peak value, discharge average value, discharge phase, number of discharge pulses, and number of discharge cycles, and evaluate the danger level of the discharge. The data is further transmitted to a background server or other data receiving terminals through an RS485 interface. It can also perform spectrogram analysis, form data reports, provide statistical quantities of relevant parameters, and store test spectrograms and discharge trends, so as to timely detect insulation defects inside the switchgear, provide criteria for evaluating its insulation level and aging degree, and provide a basis for the condition-based maintenance of the switchgear.
Technical Parameters
Parameter Name | Technical Specifications | |
1 | Detection frequency band | 3M~100MHz Ultrasound:20k~100kHz/Main resonance40kHz TEV :3M~100MHz |
2 | Sampling rate | ≥100MS/s |
3 | Measurement range | Ultrasound:0~70dBuV TEV :0~60dBmV |
4 | Resolution and Error | Resolution:1dB Error:±1dB |
5 | Linearity | Better than 10% |
6 | Power Supply | DC12V |
7 | Rated power | <6W |
8 | Operating temperature | Industrial grade:-40~85℃ |
9 | Communication Protocol | Modbus |
10 | Communication Interface | RS485 |
11 | Outline dimension | Length × Width × Height:160mm*80mm*30mm |
12 | Installation method | Magnetic suction surface-mount type |
Features
ØIt is equipped with an internal ultrasonic sensor (AA) and a transient earth voltage sensor (TEV) to simultaneously monitor partial discharge signals in high-voltage switchgear.
Ø Magnetic suction surface-mount installation, compact structure, convenient installation, which can be used for long-term uninterrupted monitoring of key stations, key equipment and abnormal equipment.
Ø Adopting 12Bit resolution A/D conversion and a high-performance FPGA processor, it can achieve 100M continuous sampling of data for more than 50 power frequency cycles.
Ø The combined application of band-pass filtering technology and noise identification and elimination algorithms can effectively identify partial discharge signals.
Ø High sensitivity, capable of detecting partial discharge signals above 10pC.
Ø It can provide partial discharge information such as discharge peak value, discharge mean value, discharge noise, discharge phase, number of discharge pulses, number of discharge cycles, and three-level alarm identification.


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