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Series arc fault online detection method and device

A series arc and detection method technology, which is applied in the direction of fault location, measuring device, and fault detection according to conductor type, can solve the problems of electromagnetic noise interference, fault false detection, low accuracy rate, etc., and achieve the effect of fast and accurate identification

Active Publication Date: 2021-02-26
LIAONING TECHNICAL UNIVERSITY +1
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Problems solved by technology

[0004] Underground coal mines, motors and frequency converters are widely used as load equipment. It also contains rich harmonic components, coupled with the serious electromagnetic noise interference generated by other equipment, resulting in a low accuracy rate of online detection of series arc faults in the load circuit of motors in underground mines, and there are cases of false fault detection and fault detection. occur
In the existing technology, there are few studies on the detection method of series arc fault of three-phase motor under the interference of complex harmonic power supply and electromagnetic noise, so it is necessary to study a new method to detect the load of three-phase motor under the special conditions mentioned above Series arc faults in a circuit

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  • Series arc fault online detection method and device
  • Series arc fault online detection method and device
  • Series arc fault online detection method and device

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Embodiment Construction

[0050] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0051] Such as figure 1 As shown, the online detection method for series arc faults in this embodiment is as follows:

[0052] Step 1: Set a number for each motor load line in the underground working face of the mine, and collect the loop current and power supply of each load line under normal operation and series arc fault conditions when the motor load line is running voltage signal;

[0053] The loop current and power supply voltage of each load line are collected by Hall current sensors and Hall voltage sensors respectively.

[0054] Step 2: After grouping the collected data, use the nuclear principal component analysis method to analyze, separate the power harmonics ...

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Abstract

The invention discloses a series arc fault on-line detection method and device, and the method employs loop current and power voltage signals of a three-phase motor, carries out the grouping of collected signals to determine the number of phases where an arc fault happens, and facilitates the quick troubleshooting of the arc fault. Then power supply harmonic waves and load noise in the current andvoltage signals can be separated by using a kernel principal component analysis method, a fifth principal component and a sixth principal component with obvious fault characteristics are selected tocarry out characteristic analysis, and the kurtosis and skewness of the fifth principal component and the kurtosis and skewness of the sixth principal component are taken as four-dimensional fault characteristic vectors; a firefly algorithm is adopted to optimize penalty coefficients and kernel function parameters of a support vector machine, a feature vector set is used for training the optimizedsupport vector machine to obtain a series fault recognition model, loop current and power supply voltage signals are collected in real time and input into the series fault recognition model to achieve real-time detection of series faults. The method has a fault positioning function and is high in fault identification accuracy.

Description

technical field [0001] The invention relates to the technical field of on-line detection of series arc faults, in particular to a method and device for on-line detection of series arc faults. Background technique [0002] In the coal mine underground power supply system, due to the humidity of the environment, mechanical vibration, electric repulsion, and the pulling of cables when moving electrical equipment, electrical connectors will be corroded, loose and other faults. In severe cases, arc discharge will occur, and even fire accidents. According to incomplete statistics, more than 70% of mine cable fire accidents are caused by local overheating of cables caused by series arc faults. [0003] At present, there are two main types of series arc fault detection methods: one is to detect series arc faults through physical effects such as arc sound, arc light, electromagnetic radiation, etc. when series arc faults occur. This method is only suitable for online detection of spe...

Claims

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Application Information

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IPC IPC(8): G01R31/12G01R31/08G06K9/00G06K9/62G06N3/00
CPCG01R31/1272G01R31/085G01R31/088G06N3/006G06F2218/04G06F2218/08G06F18/2135G06F18/214
Inventor 王智勇韩聪信高洪鑫郭凤仪王君鹏
Owner LIAONING TECHNICAL UNIVERSITY
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