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On-load tap-changer fault identification method based on vibration signal feature extraction

A vibration signal and on-load tapping technology, which is applied in character and pattern recognition, instruments, measuring devices, etc., can solve the problems of false components and components with similar frequencies that cannot be separated correctly. The method is simple and easy to implement, and the algorithm is simple Effect

Active Publication Date: 2018-11-20
JIANGSU ELECTRIC POWER CO +2
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Problems solved by technology

Although the EMD algorithm is suitable for the analysis of nonlinear and unsteady signals, it also has many shortcomings, especially the components with similar frequencies cannot be separated correctly, and there is a problem of false components.

Method used

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  • On-load tap-changer fault identification method based on vibration signal feature extraction
  • On-load tap-changer fault identification method based on vibration signal feature extraction
  • On-load tap-changer fault identification method based on vibration signal feature extraction

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present invention.

[0045] as attached figure 1 As shown, the present invention discloses a method for extracting vibration signal features of an on-load tap changer, and the identification method includes the following steps:

[0046] Step 1: Collect the vibration signals of the OLTC under normal conditions and fault conditions through the acceleration sensor, and preprocess the vibration signals;

[0047] The acceleration sensor adopts the installation method that the permanent magnet is adsorbed on the surface of the OLTC test point of the on-load tap changer. This installation method is simple and easy, and is suitable for occasions where the test point is frequently replaced. Considering the propagation med...

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Abstract

The invention relates to an on-load tap-changer fault identification method based on vibration signal feature extraction. The method comprises steps that firstly, a vibration signal of an on-load tap-changer OLTC in operation is acquired by an acceleration sensor, and the vibration signal is preprocessed; the acquired tap-changer vibration signal is subjected to variation mode decomposition, thatis VMD decomposition, false components are further eliminated, and the kurtosis of an effective modal component is calculated as the fault feature quantity of the OLTC; and lastly, tap-changer fault diagnosis is performed according to the tap-changer fault feature quantity. The method is advantaged in that OLTC mechanical fault features can be effectively extracted, and the effect is better than EMD.

Description

technical field [0001] The invention belongs to the technical field of electric power equipment, and relates to an on-load tap changer fault diagnosis technology, in particular to an on-load tap changer fault identification method based on vibration signal feature extraction. Background technique [0002] During the operation of the on-load tap-changer, the collision or friction between the mechanism parts will generate vibration signals, which contain rich equipment status information. At present, the analysis based on vibration signal has become an important means of mechanical fault diagnosis of on-load tap-changer. The existing vibration signal analysis methods include wavelet singularity detection, self-organizing map method, EMD (empirical mode decomposition) and wavelet packet, etc. Most of these methods decompose the non-stationary signal into the sum of several simple stationary signals, and then process each component to extract time-frequency features. However, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327G01H17/00G06K9/00
CPCG01H17/00G01R31/327G06F2218/08
Inventor 陈冰冰张勇司小庆马宏忠王春宁许洪华王梁徐艳徐礼浩高沁李杰王妍
Owner JIANGSU ELECTRIC POWER CO
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