Multi-load series arc fault detection and positioning method

A series arc and fault detection technology, applied in the direction of testing dielectric strength, etc., can solve the problem that the detection algorithm is easy to cause misjudgment

Active Publication Date: 2019-11-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] The core of the arc fault circuit breaker lies in the

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  • Multi-load series arc fault detection and positioning method
  • Multi-load series arc fault detection and positioning method
  • Multi-load series arc fault detection and positioning method

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[0043] In order to make the above-mentioned purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings.

[0044] The process flow of a multi-load series arc fault detection and location method involved in the present invention is as follows: figure 1 As shown, it includes the following steps: step S1, collecting the current signal in the circuit; step S2, extracting all-round features from the collected current signal; step S3, inputting the obtained features into the random forest for feature ranking calculation ; Step S4, select the feature combination for different types of loads according to the feature score of the random forest; Step S5, input the selected feature combination into the deep neural network to obtain the arc detection model and arc fault location model for different loads; Step S6, J...

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Abstract

The invention discloses a multi-load series arc fault detection and positioning method. The method comprises the steps of: collecting a current signal in a main loop, performing omnibearing feature extraction on the current by using time domain, frequency domain and energy analysis, wherein the feature extraction comprises a variance, a correlation coefficient and a peak factor index based on timedomain analysis; based on the harmonic amplitude of discrete Fourier transform and the frequency band energy and wavelet entropy of discrete wavelet transform. calculating the average Gini inpurity reduction amount of different characteristics by adopting a random forest, performing screening to obtain feature combinations for different types of loads, inputting the feature combinations into a deep neural network for training, and establishing an arc detection and positioning model for different types of loads for determining whether an arc occurs or not and determining the position of the arc and outputting fault information.

Description

technical field [0001] The invention belongs to the field of fault detection and positioning, in particular to a multi-load series arc fault detection and positioning method. Background technique [0002] Arcing is a very harmful discharge phenomenon that produces a large amount of light and heat that can cause a fire. When the line insulation is aged or damaged, arcing may occur. Arc faults are divided into parallel arc faults and series arc faults, among which the current of parallel arc faults is relatively large, which can be detected by general over-current protection and disconnected, while the current of series arc faults is small, and may even be smaller than the normal operation. Current value, so it is difficult to be found and cause an accident. [0003] Series arc fault detection is greatly affected by the load. Different types of loads have different current waveforms and arc characteristics when an arc fault occurs. Therefore, there is still no mature arc fau...

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/12
Inventor 江军文哲张潮海别一凡赵铭鑫
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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