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AC arc fault detection method

A technology for arc fault and fault detection, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as changes, reduced accuracy of detection algorithms, and increased workload

Inactive Publication Date: 2018-03-13
HEBEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Disadvantage: The voltage or current amplitude also changes when switching different loads
[0009] Disadvantages: The amplitude of high-frequency pulses is significantly affected by specific load types and current levels, and the threshold of high-frequency pulses needs to be adjusted for different types of loads
[0012] Disadvantages: BP neural network needs to be trained through a large amount of experimental data, and it can be transplanted to the processor after the neural network converges.
If there are not enough training samples or the types of loads contained in the samples are not comprehensive enough, the accuracy of the detection algorithm will be reduced.
Obtaining enough neural network training samples through experiments will greatly increase the workload in the early stage

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Such as figure 1 As shown, the voltage or current signal obtained in step a is processed by a combination of three methods, and the specific processing steps are as follows:

[0050] Step 1, system initialization, set the power frequency to F according to the actual situation, and set the threshold n_thr of the number of cycles.

[0051] Step 2, set the counters C1, C2, C3 to zero, and set the number of cycles n_cycle to zero;

[0052] Step 3, collecting voltage and / or current signals;

[0053] Step 4, filtering and conditioning the signal;

[0054] Step 5, input the filtered and conditioned signal into the analog-to-digital converter, and the output of the analog-to-digital converter is a discrete voltage signal and / or current signal;

[0055] Step 6: Process the signal after the analog-to-digital conversion through the following two branches:

[0056] The first branch: Method 1, wavelet transform

[0057] 1. Perform nonlinear morphological filtering on the signa...

Embodiment 2

[0087] Such as figure 2 As shown, the voltage or current signal obtained in step a is processed by combining method two and method three, and the specific processing steps are as follows:

[0088] Step 1, system initialization, set the power frequency to F according to the actual situation, and set the threshold n_thr of the number of cycles.

[0089] Step 2, set the counters C2 and C3 to zero, and set the number of cycles n_cycle to zero;

[0090] Step 3, collecting voltage and / or current signals;

[0091] Step 4, filtering and conditioning the signal;

[0092] Step 5, input the filtered and conditioned signal into the analog-to-digital converter, and the output of the analog-to-digital converter is a discrete voltage signal and / or current signal;

[0093] Step 6: Perform windowed discrete Fourier transform on the signal to obtain the frequency spectrum of the signal. The amplitude at frequency f(i) is denoted as y(f(i)), where i=1, 2, 3...n. n is the number of discrete...

Embodiment 3

[0117] Such as image 3 As shown, the method is used to process the voltage or current signal obtained in step a, and the specific processing steps are as follows:

[0118] Step 1, system initialization, set the power frequency to F according to the actual situation, and set the threshold n_thr of the number of cycles.

[0119] Step 2, set the counter C1 to zero, and set the number of cycles n_cycle to zero;

[0120] Step 3, collecting voltage and / or current signals;

[0121] Step 4, filtering and conditioning the signal;

[0122] Step 5, input the filtered and conditioned signal into the analog-to-digital converter, and the output of the analog-to-digital converter is a discrete voltage signal and / or current signal;

[0123] Step 6. Process the signal after analog-to-digital conversion by means of a pair of signals:

[0124] 1. Perform nonlinear morphological filtering on the signal;

[0125] 2. Perform discrete wavelet transform on the filtered signal to obtain the deta...

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Abstract

The invention discloses a method for detecting an AC arc fault, comprising the following steps: a. collecting a voltage signal or a current signal in a circuit to be detected through a transformer, filtering and conditioning the collected voltage signal or current signal, and filtering the Perform analog-to-digital conversion with the conditioned signal; b. Design a method for processing the voltage signal or current signal obtained through step a; c. Select any method in step b or a combination of any two methods or a common combination of the three methods The voltage signal or current signal obtained in step a is processed to obtain a judgment result. The invention has the beneficial effects of being easy to implement, fast in detection speed, sensitive in response and high in accuracy.

Description

technical field [0001] The invention relates to the field of AC arc fault detection, in particular to an AC arc fault detection method. Background technique [0002] With the continuous development of social economy, the types and quantities of electrical equipment in residential buildings, factories, shopping malls and other buildings are increasing. Due to the long-term load or overload operation of electrical wiring and internal circuits of electrical equipment, the insulation layer of the wires is gradually aging or even damaged. A fault arc is likely to occur at a position where the insulation is damaged. If it is not found in time and corresponding measures are not taken, the fault arc is likely to cause a fire or an explosion. In addition, in addition to the arc fault caused by the aging insulation on the aircraft, the loose wiring caused by the mechanical vibration during the flight of the aircraft will also generate an arc fault, which seriously threatens the safet...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00
Inventor 崔芮华郭静然刘喆王绍敏刘骉
Owner HEBEI UNIV OF TECH