Multi-source information fusing switch cabinet partial discharge detection method
A partial discharge detection and multi-source information fusion technology, applied in the electric power field, can solve problems such as actual switchgear defect simulation, achieve the effects of improving detection efficiency and detection accuracy, reducing complexity, and avoiding the influence of high-frequency noise
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0030] A switchgear partial discharge detection method based on multi-source information fusion, such as figure 1 As shown, including the following steps:
[0031] S1: Set a sensor at the measuring point of the switchgear, and sequentially perform conditioning, filtering, amplification, detection, smoothing and envelope processing on the signal picked up by the sensor;
[0032] S2: measure the signal obtained in step S1;
[0033] S3: Analyze and display the measurement result obtained in step S2.
[0034] among them:
[0035] The sensor is any one of an ultra high frequency (UHF) sensor, an ultrasonic (AE) sensor, a high frequency current (HFCT) sensor, a TEV sensor, a power frequency signal sensor, and a vibration sensor, and the sensor is movable.
[0036] The UHF sensor is a microstrip sensor. The power frequency signal sensor directly extracts the required power frequency signal from the 110V power supply or the PT secondary side of the substation, and after the conditioning, filter...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 
