Partial Discharge Detection Using Ultraviolet Imagery
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Solution Overview
Problem
Existing methods for detecting partial discharge under high dv/dt pulse voltage conditions are ineffective due to electromagnetic interference, noise, and difficulty in detecting sealed metal equipment.
Innovation Solution
A partial discharge detection method using ultraviolet imagery, which involves sampling video data, extracting ultraviolet images, and processing them to obtain discharge intensity data, while adjusting for high dv/dt pulse voltage conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pulse current detection method is used, then detection sensitivity is improved, but electromagnetic interference resistance deteriorates
Solution Approach 1:
The patent introduces an optical intermediary (light) to convert electrical discharge phenomena into optical signals that can be detected without direct electrical contact. The detection system uses optical sensors to capture light emissions from partial discharge, thereby maintaining high sensitivity while eliminating electromagnetic interference issues inherent in direct electrical detection methods.
2Adaptability or versatility
If HFCT detection method is used, then bandwidth adjustability is improved, but signal-to-noise ratio deteriorates under high dv/dt conditions
Solution Approach 1:
The patent replaces the electrical-based HFCT detection system with an optical detection system. Instead of using electrical sensors that are susceptible to high dv/dt interference, the system uses optical sensors to detect light emissions from partial discharge. This substitution maintains adaptability while eliminating the signal-to-noise ratio deterioration problem under high dv/dt pulse voltage conditions.
3Measurement precision
If UHF detection method is used, then detection sensitivity is improved, but resistance to electromagnetic interference deteriorates
Solution Approach 1:
The patent uses light as an intermediary to detect partial discharge phenomena. By converting electrical discharge into optical signals, the system achieves high detection sensitivity while avoiding the electromagnetic interference problems that plague UHF detection methods. The optical intermediary isolates the detection system from electromagnetic interference entirely.
4Reliability
If ultrasonic detection method is used, then electrical isolation is improved, but detection accuracy deteriorates due to signal attenuation
Solution Approach 1:
The patent replaces the ultrasonic mechanical wave detection system with an optical detection system. Instead of using acoustic waves that suffer from attenuation and require close proximity, the system uses optical sensors to detect light emissions from partial discharge. This substitution maintains electrical isolation while dramatically improving detection accuracy by eliminating signal attenuation problems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides accurate detection of partial discharge with improved signal-to-noise ratio, effectively overcoming the limitations of traditional detection methods under high dv/dt conditions.
Implementation Method 1
an ultraviolet imager is used to sample a video data in a partial discharge area of a target electric system
Data Source
AI summary
A partial discharge detecting method using ultraviolet imagery under pulse voltage condition is discussed. The method samples video data at a partial discharge area of a target electric system by an ultraviolet imager, obtains an ultraviolet image by extracting video frames from the video data, obtains a discharge intensity data P based on a sum number of pixels with a brightness value higher than a brightness threshold in the ultraviolet image; and obtains a quantization result Q of the partial discharge of the target electric system based on the discharge intensity data P and discharge characteristic parameters.