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Fault detection method of voltage class equipment

A voltage level, fault detection technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of low detection efficiency, narrow application range, increased failure rate of voltage level equipment, etc. Increase and improve the effect of detection efficiency

Inactive Publication Date: 2015-08-12
STATE GRID CORP OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The fine classification of voltage levels increases the number of voltage level devices, making the circuit structure and control methods more complex, and at the same time increases the failure rate of voltage level devices, so the fault detection of voltage level devices is particularly important
The existing detection methods for voltage level equipment are mainly fault detection based on knowledge and experience, but the detection efficiency of this method is low and the application range is narrow

Method used

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Experimental program
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Embodiment 1

[0029] In the embodiment of the present invention, the fault detection method of voltage level equipment, the fault detection method includes:

[0030] Step 1, the training process of the three-time neural network model, the training process includes: 1) performing Fourier transform on the output signal of the voltage level equipment in the preset fault state to obtain the voltage harmonic signal; 2) the step 1) Input the harmonic signal after Fourier transform into the input layer of the neural network model; 3) Determine the weight value of the neural network model according to the input signal of the neural network model and the preset output signal of the neural network model to determine The classification mechanism of the neural network model, the preset output signal of the neural network model corresponds to the preset fault state.

[0031] Step 2, the testing process of the neural network model three times, the testing process includes: 1) adjusting the modulation rat...

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Abstract

The invention discloses a fault detection method of voltage class equipment. Through the training process of a third neural network model and the test process of the third neural network model, the output voltage signals of the voltage class equipment are subjected to Fourier transform to obtain voltage harmonic signals. The neural network models are used to classify the voltage harmonic signals obtained through the Fourier transform. The fault types corresponding to various voltage harmonic signals obtained through Fourier transform are determined. The method can be applied to various signals by using the Fourier transform, thus the detection efficiency is raised, the application range is increased, the neural network models are used to classify the voltage harmonic signals obtained through the Fourier transform so as to determine the fault types corresponding to various types of voltage harmonic signals, thus the fault types corresponding to output voltage signals of the voltage class equipment are determined, and the detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of electric power equipment, in particular to a fault detection method for voltage level equipment. Background technique [0002] Electricity is based on electrical energy as a driving force energy . The power system is a power production and consumption system composed of power generation, power transmission, power transformation, power distribution and power consumption. Its function is to convert the primary energy in nature into electric energy through the power generation device, and then supply the electric energy to various users through power transmission, transformation and distribution. In order to realize this function, the power system also has corresponding information and control systems in various links and different levels to measure, adjust, control, protect, communicate and dispatch the production process of electric energy, so as to ensure that users can obtain safe, economical and hig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
Inventor 石磊张勇吴彬
Owner STATE GRID CORP OF CHINA