Method of detecting local discharge signal in electric power equipment

A technology of electrical equipment and discharge signals, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as difficult selection, increased steady-state error, and divergence

Active Publication Date: 2007-10-03
BAOSHAN IRON & STEEL CO LTD
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Problems solved by technology

However, as we all know, the adaptive filtering method itself also has some other problems. As far as the commonly used least mean square (LMS) algorithm is concerned, its convergence speed is slow. If the step size is adjusted to increase the convergence speed, it may lead to steady-state errors. increase or even diverge
For single-frequency narrow-band interference, we can get the optimal step size through Monte-Carlo (please use Chinese) analysis, but for multi-frequency interference with wide frequency distribution (communication carrier signal 40kHz ~ 500kHz, broadcast signal from several Hundreds of kHz to several MHz), that is, there is a problem of coexistence of multi-frequency narrowband interference signals, and it is very difficult to choose appropriate parameters
This

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  • Method of detecting local discharge signal in electric power equipment
  • Method of detecting local discharge signal in electric power equipment
  • Method of detecting local discharge signal in electric power equipment

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Embodiment Construction

[0035] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0036] We have described in the background technology that adaptive filtering can achieve better results in suppressing narrow-band interference because it does not need to know the frequency of narrow-band interference in advance. However, it is very difficult to select appropriate parameters for this filtering method, and the effect is often unstable. , or even diverge, so this method cannot be used alone. So we thought of a new signal analysis method proposed by the National Aeronautics and Space Administration (NASA) in recent years, that is, the Empirical Mode Decomposition (EMD) method, which is based on the local characteristics of the signal and can adaptively The signal is decomposed into intrinsic mode functions for different frequency bands. The mul...

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Abstract

The method of detecting local discharge signal in electric power equipment includes the empirical mode dissociation of acquired original signal, the adaptive filtering treatment on the obtained inherent mode functions of different orders, and final signal reconstruction with the treated new inherent mode functions to obtain the useful local discharge signal with inhibited narrow band interference signal. The method has high adaptive filtering effect and easy parameter setting, and may be used widely in the denoising treatment of local discharge signal in large electric power equipment and similar equipment.

Description

technical field [0001] The present invention relates to the extraction of useful signals, more specifically to a detection method for partial discharge signals of power equipment, the method is based on empirical mode decomposition and adaptive filtering narrow-band interference suppression method, mainly used for partial discharge of power equipment In the monitoring system, it also has a wide range of application prospects in various military or civilian monitoring systems. technical background [0002] Detecting partial discharge is an important means of monitoring the insulation state of large-scale power equipment, and has attracted the attention of many people in the industry in recent years. When these large power equipments are in operation, partial discharge is often submerged in noise due to the existence of a large number of on-site disturbances. In order to obtain effective partial discharge signals, noise interference must be suppressed. Among the numerous inte...

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Application Information

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IPC IPC(8): G01R31/02G01R31/08
Inventor 黄成军魏炜钱勇徐冰雁毕宇辉
Owner BAOSHAN IRON & STEEL CO LTD
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