Method for diagnosing mechanical faults of distribution switch

A technology for distribution switch and mechanical failure, which is applied in the field of distribution switch mechanical fault diagnosis based on two-dimensional eigenvector clustering of vibration signals, and can solve problems such as the position that cannot reflect energy concentration

Active Publication Date: 2014-05-28
STATE GRID CORP OF CHINA +3
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Problems solved by technology

At present, most of the vibration signal feature extraction is based on the amplitude of the vibration signal, such as spectrum entropy, time-frequency energy entropy, etc. These feature quantiti

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  • Method for diagnosing mechanical faults of distribution switch
  • Method for diagnosing mechanical faults of distribution switch
  • Method for diagnosing mechanical faults of distribution switch

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Embodiment Construction

[0043] The present invention will be further described below through specific embodiments.

[0044] refer to Figure 1 to Figure 2 As shown, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] The distribution switch vibration signal detection system is composed of an acceleration sensor, a vibration signal detection device and a vibration signal detection and analysis software. The piezoelectric acceleration sensor is installed near the distribution switch operating mechanism, and the signal sampling frequency is 80kHz to obtain 4 different states. The following switch vibration signals: normal state, mechanical structure jamming, base screw loosening, and three-phase closing at different phases are used as known state signals, and another 3 vibration signals are randomly selected as data to be inspected, a total of 15 vibration signal. EMD decomposition is performed on each vibrati...

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Abstract

The invention discloses a method for diagnosing mechanical faults of a distribution switch based on a two-dimensional feature vector cluster of vibration signals. The method comprises the following steps that an acceleration sensor is arranged near a switch operating mechanism and the vibration signals of the distribution switch on different states in the processes of gate switch-on and gate switch-off are obtained; two-dimensional information feature vectors of vibration signal energy and gravity center frequency are extracted through HHT band-pass filtering and conducted on the obtained vibration signals, the normalized two-dimensional feature vectors stand for effective feature quantity of the mechanical state of the distribution switch, and different kinds of mechanical fault diagnosis of the distribution switch can be achieved through a vague K mean value cluster (FKM).

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis of distribution network switches, in particular to a method for diagnosing mechanical faults of distribution switches based on two-dimensional eigenvector clustering of vibration signals. Background technique [0002] Distribution switches play a pivotal role in the entire distribution network, and whether their opening and closing operations are normal is closely related to the stability of the power grid and the reliability of power supply. Distribution switch failures include mechanical failures and electrical failures, and many electrical failures such as poor contact of switch contacts are mostly caused by mechanical failures such as operating mechanism failures and improper switching. Statistics show that about 80% of switch failures are due to It is caused by poor mechanical characteristics, and most of them are problems with the operating mechanism. Monitoring the mecha...

Claims

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Application Information

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IPC IPC(8): G01R31/327G01M13/00
Inventor 郭谋发陈立纯李文勇陈永往郑万伟曾进顺陈小鹏
Owner STATE GRID CORP OF CHINA
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