Partial discharge signal detecting method based on coupled Duffing oscillator

Abstract

The invention provides a partial discharge signal detecting method based on a coupled Duffing oscillator, comprising the following steps: obtaining a to-be-detected digital signal after passing a to-be-detected signal through an A / D converter; inputting the to-be-detected digital signal into a coupled Duffing oscillator system; using the fixed-step-size fourth-order Runge-Kutta method to solve thedifference of the state variable between oscillators; and regarding the difference of the state variable between oscillators as a partial discharge signal in the to-be-detected signal. The method ofthe invention adopts the Duffing oscillator system composed of three oscillators, achieves the strong noise suppression capability and can effectively detect the partial discharge signal; the coupledoscillator is solved by initial value recursion, the operation speed is better than that of the existing method, and the method is suitable for real-time operation and has an advantage in the on-linedetection system of the discharge signal; and the narrow signal detection capability is superior to that of the existing detection method.

Description

Technical field [0001] The invention relates to a partial discharge signal detection method based on a coupled Duffing vibrator. The method can be applied to the detection of low signal-to-noise ratio partial discharge signals in the field of high-voltage electrical appliances. Background technique [0002] The insulation aging or defects of power equipment can cause partial discharge. Real-time monitoring of partial discharge signals of power equipment is an important means to ensure the safe operation of the equipment. Because the partial discharge signal itself is very weak and is often submerged by noise, the effective detection of the partial discharge signal in the noise becomes a core part of the partial discharge signal online monitoring system. [0003] At present, it has been proved that the detection ability of chaotic oscillators is better than traditional signal processing methods in some aspects, so it is a promising method to use chaotic oscillators to detect partial...

AI Technical Summary

Problems solved by technology

However, there are certain problems in the form of the Duffing oscillator system proposed by Wu Yongfeng, such as: the slow synchronization process will lead to parasitic oscillations in the output signal, and it is impossible to accurately track the falling edge of the signal; the coupling between the oscillators is low, and the signal duration or amplitude is large. Will destroy its synchronization process, and the ability to suppress noise is insufficient

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