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Distribution transformer abnormal state detecting method based on vibration-sound correlation

A technology for distribution transformers and abnormal states, which is applied in the direction of measuring electrical variables, instruments, measuring electricity, etc. to achieve the effect of improving accuracy

Pending Publication Date: 2019-09-10
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently a lack of a stable, efficient and reliable detection method for distribution transformers

Method used

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  • Distribution transformer abnormal state detecting method based on vibration-sound correlation
  • Distribution transformer abnormal state detecting method based on vibration-sound correlation
  • Distribution transformer abnormal state detecting method based on vibration-sound correlation

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Embodiment Construction

[0037] In order to better understand the technical solution of the present invention, it will be described in detail below through specific embodiments in conjunction with the accompanying drawings:

[0038] see figure 1 , taking a 10kV distribution transformer as an object to diagnose the abnormal state, and judge the working state of the distribution transformer according to the following steps:

[0039] (1) Collect the current signal i(t), vibration signal v(t) and sound signal s(t) during the operation of the distribution transformer, the sampling frequency is f0, and the frequency f is used 0 = 50kHz;

[0040] (2) Standardize the current signal c(t), vibration signal v(t) and sound signal s(t) to obtain the current signal c'(t), vibration signal v'(t) and sound signal s'(t ), where the standardized calculation formula is

[0041]

[0042]

[0043]

[0044] In the formula: N is the signal length; with are the average values ​​of current signal c(t), vibration...

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Abstract

The invention discloses a distribution transformer abnormal state detecting method based on vibration-sound correlation analysis. A fusion curve of main spectral components of a signal correlation function is obtained by collecting a current signal, a vibration signal and a sound signal of a distribution transformer and processing the signals; and the abnormal state of the distribution transformeris detected efficiently and accurately through the correlation degree between the fusion curve and a historical fusion curve.

Description

technical field [0001] The invention relates to a method for detecting the state of electric equipment, in particular to a method for detecting the abnormal state of a distribution transformer based on vibration-acoustic correlation. Background technique [0002] Transformers are an important part of power distribution and transmission, and one of the most important equipment in power systems. Distribution transformers are not only huge in number and involve a wide range of areas in the entire distribution network, but also directly connected to power users. Therefore, distribution transformers Whether it can operate normally directly determines the security of the distribution network and the reliability of power supply. However, there is currently a lack of a stable, efficient and reliable detection method for distribution transformers. [0003] During the operation of the distribution transformer, the magnetic hysteresis of the silicon steel sheet of the iron core and th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01H17/00G01R23/16
CPCG01R31/00G01H17/00G01R23/16
Inventor 戴人杰俞玲李启本吴旭鹏江彪陈玉辉徐修能陶冶林
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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