Partial Discharge Detection Instrument Real-Time Filtering
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Solution Overview
Problem
Current methods for detecting partial electric discharges in high-voltage systems face challenges in interpreting results due to loss of information, noise interference, and the need for real-time filtering, especially when dealing with high-frequency signals and frequent unwanted signals, which complicates the diagnosis of insulation defects.
Innovation Solution
An instrument with a processing stage that includes a filtering module to enable or disable the transfer of parameter values in real time by comparing extracted amplitude and phase parameters with predetermined reference values, allowing for efficient detection and processing of significant signals while rejecting unwanted ones, using a combination of FPGA and DSP for filtering logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time processing of high-frequency discharge signals is implemented, then diagnostic speed and responsiveness are improved, but information loss and noise interference increase
Solution Approach 1:
The patent applies preliminary action by pre-defining reference values for amplitude and phase parameters before signal processing begins. These reference values are stored in advance and used during real-time processing to quickly compare against incoming discharge signals, enabling rapid diagnosis without losing critical signal information during processing.
Solution Approach 2:
The patent replaces complex mechanical signal processing systems with electronic/digital processing methods. By using electronic comparison of amplitude and phase parameters against stored reference values, the system achieves fast real-time processing while preserving signal integrity through digital rather than mechanical means.
2Reliability
If comprehensive detection of all discharge signals is performed, then detection completeness is improved, but unwanted signals and noise interfere with diagnostic accuracy
Solution Approach 1:
The patent extracts only the essential characteristics of discharge signals (amplitude and phase parameters) for processing, separating these useful features from the complete signal waveform. This extraction allows comprehensive detection of discharge events while filtering out unwanted noise and irrelevant signal components that would otherwise interfere with diagnostic accuracy.
Solution Approach 2:
The patent changes the parameters used for signal evaluation from raw waveform data to specific extracted parameters (amplitude and phase). By transforming the signal representation into these key parameters and comparing them against reference values, the system achieves reliable detection while inherently filtering out noise that does not match the expected parameter patterns.
3Measurement precision
If detailed processing of all detected signals is performed, then diagnostic precision is improved, but processing time and resource consumption increase
Solution Approach 1:
The patent extracts only the critical amplitude and phase parameters from complete discharge signals for processing. This selective extraction maintains diagnostic precision by focusing on the most informative features while significantly reducing processing time by avoiding analysis of redundant signal components.
Solution Approach 2:
The patent applies partial action by processing only the essential parameters (amplitude and phase) rather than performing detailed analysis of entire signal waveforms. This partial processing approach achieves sufficient diagnostic precision for practical purposes while minimizing processing time and resource consumption.
Data Source
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AI summary
An instrument for detecting partial electric discharges includes: an input stage set up to receive a discharge signal representative of one or more partial discharge pulses and a sync signal representative of an alternating voltage applied to the electric apparatus; a data processing stage for receiving the discharge signal and the sync signal, and extracting substantially in real time for each pulse detected the value of an amplitude parameter, correlated with a pulse amplitude, and the value of a phase parameter, representative of the phase of the voltage applied to the electric apparatus concurrently with the pulse, and transferring to output a processed digital signal including the values extracted. The processing stage includes a filtering module set up to disable substantially in real time the transfer to output of the values of the parameters extracted for one or more pulses.