Partial Discharge Measurement Using Multi-Sensor Spatial Analysis
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Solution Overview
Problem
In high-voltage rotating machines, existing partial discharge measurement methods struggle to accurately detect defect positions and assess risk due to noise interference and the complexity of signal patterns in environments with multiple defects, leading to unreliable risk assessments.
Innovation Solution
A method using multiple electromagnetic sensors to measure spatial intensity distributions, separate partial discharge signals from noise, and analyze the φ-q-n pattern, current signal waveforms, and FFT waveforms to locate defect positions and assess risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used to measure partial discharge in high-voltage rotating machines, then the measurement system is simple, but the ability to separate partial discharge signals from noise and accurately locate defect positions deteriorates
Solution Approach 1:
The patent divides the measurement system into multiple electromagnetic sensors arranged in specific spatial configurations. By segmenting the detection function across multiple sensors, the system can capture spatial intensity distributions and compare signal characteristics from different positions, enabling accurate defect localization and noise separation despite increased system complexity
Solution Approach 2:
The patent transitions from single-point measurement to spatial distribution measurement by arranging sensors in three-dimensional configurations. This dimensional expansion allows the system to measure signal intensity distributions in space and time, providing additional information for distinguishing partial discharge signals from noise and locating defects with higher precision
2Reliability
If multiple sensors are used to measure spatial intensity distribution, then the ability to separate partial discharge signals from noise improves, but the device complexity increases
Solution Approach 1:
The patent designs the multi-sensor system to perform multiple functions simultaneously: detecting partial discharge signals, separating them from noise through spatial distribution analysis, locating defect positions, and assessing defect risks. This multi-functionality justifies the increased complexity by providing comprehensive diagnostic capabilities that a single sensor cannot achieve
Solution Approach 2:
The patent implements feedback mechanisms where the measured spatial intensity distributions are compared against predetermined patterns or thresholds. This feedback loop enables automatic identification of partial discharge signals versus noise, and provides the basis for risk assessment, thereby improving reliability through systematic signal processing
3Ease of operation
If conventional measurement methods are used in high-voltage devices with numerous defects, then the measurement process is simple, but the ability to accurately assess defect risk deteriorates due to superimposed signals
Solution Approach 1:
The patent performs preliminary measurements of spatial intensity distributions under known conditions to establish reference patterns before actual defect detection. These predetermined patterns serve as benchmarks for comparing and interpreting signals from devices with multiple defects, enabling accurate risk assessment even when signals are superimposed
Solution Approach 2:
The patent employs dynamic analysis by measuring temporal variations in signal intensity distributions and comparing them across different time points. This dynamic approach allows the system to distinguish between transient noise and persistent partial discharge signals, and to assess defect severity based on signal evolution patterns
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 approach effectively separates partial discharge signals from noise, accurately detects defect positions, and provides a reliable risk assessment for high-voltage devices, enhancing the reliability of partial discharge measurement in high-voltage rotating machines.
Implementation Method 1
a plurality of electromagnetic sensors is combined and forms a partial discharge sensor while a relative positional relation (distance and angle) is kept between the sensors
Data Source
AI summary
The present invention provides a partial-discharge measurement method in which a partial-discharge defect signal and noise are separated, a partial-discharge defect position is detected, and the risk of a detected partial discharge defect is diagnosed. Further, this method provides a highly reliable high-voltage device. An electromagnetic wave generated by a sample is simultaneously measured by a plurality of sensors. A partial discharge and noise are separated through the comparison of the spatial intensity distribution of measured signals and a spatial signal intensity distribution measured beforehand at the time of the occurrence of a partial discharge, and a defect position is detected using a peak position. Further, the risk of a defective site is diagnosed on the basis of a simultaneously measured charge amount signal.