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Transformer partial discharge fault diagnosis method and online monitoring device

A partial discharge and fault diagnosis technology, applied in the field of transformers, can solve problems such as the inability to determine the type of transformer partial discharge faults

Active Publication Date: 2018-12-21
STATE GRID HEBEI ELECTRIC POWER RES INST +2
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  • Abstract
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a transformer partial discharge fault diagnosis method and an online monitoring device to solve the problem in the prior art that the fault type of transformer partial discharge cannot be determined

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  • Transformer partial discharge fault diagnosis method and online monitoring device
  • Transformer partial discharge fault diagnosis method and online monitoring device
  • Transformer partial discharge fault diagnosis method and online monitoring device

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Embodiment Construction

[0053]In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0054] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0055] Such as figure 1 As shown, it is a flow chart of the transformer partial discharge fault diagnosis method provided by the embodiment of the present invention, and the transformer partial discharge fault diagnosis method includes:

[0056] Step S101, collect the ...

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Abstract

The invention is applicable to the technical field of transformer, and provides a transformer partial discharge fault diagnosis method and an online monitoring device, wherein a nonlinear mapping compression feature quantity method and a Merlin transform algorithm are adopted to extract a feature quantity from a partial discharge signal, and an eigenvector representing the characteristics of the partial discharge signal is formed, and mapped on a feature plane. The extracted feature quantity is clustered by unsupervised fuzzy c-means clustering algorithm to form a plurality of samples, and a phase and a waveform characteristic of each sample after clustering are analyzed, and relevant features are extracted. A sample fingerprint database is established by using a mathematical morphology particle analysis method to compare each sample, and a neural network algorithm is used to identify a partial discharge signal type pattern. According to the transformer partial discharge fault diagnosis method and the online monitoring device, the type of fault of partial discharge of the transformer is determined.

Description

technical field [0001] The invention belongs to the technical field of transformers, in particular to a transformer partial discharge fault diagnosis method and an online monitoring device. Background technique [0002] As the requirements for power grid safety and stability are getting higher and higher, the allowable time for transformer outage maintenance is getting shorter and shorter. In this case, the rapid development of transformer live monitoring and online monitoring technology provides technical support for the safe and stable operation of transformers. [0003] In recent years, transformer partial discharge online monitoring technology has been widely used. At present, the online monitoring technology is far from mature. Although the amount of data collected by the existing online monitoring equipment is sufficient, a large amount of data is submerged in the noise, which makes it impossible to detect partial discharge. type identification. In addition, if there ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12
CPCG01R31/1227
Inventor 刘宏亮张鹏高树国范辉孟令明梁博渊
Owner STATE GRID HEBEI ELECTRIC POWER RES INST
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