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DC system fault diagnosis method, system and device

A fault diagnosis and DC system technology, applied in the field of electric power diagnosis, can solve problems such as long diagnosis time and low diagnosis efficiency, and achieve the effect of improving work efficiency, avoiding time cost and labor cost, and efficient and accurate calculation process

Inactive Publication Date: 2020-02-14
CHINA SOUTH POWER GRID ELECTRIC POWER RES INST +1
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  • Abstract
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Problems solved by technology

[0004] The invention provides a DC system fault diagnosis method, system and equipment, which solves the technical problems of long diagnosis time and low diagnostic efficiency in the current DC system fault diagnosis

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  • DC system fault diagnosis method, system and device
  • DC system fault diagnosis method, system and device
  • DC system fault diagnosis method, system and device

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Embodiment Construction

[0034] The embodiment of the present invention provides a DC system fault diagnosis method, system and equipment, which are used to solve the technical problems of long diagnosis time and low diagnosis efficiency in current DC system fault diagnosis.

[0035] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] see figure 1 , figure 1 It is a method flowchart of a DC system fault diagnosi...

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Abstract

The invention discloses a DC system fault diagnosis method, system and device. The method comprises the following steps: acquiring fault waveforms and fault types; establishing a corresponding table of the fault waveforms and the fault types; classifying the fault waveforms into a training set and a test set; training a fault diagnosis model by adopting the training set, and carrying out testing by adopting the test set; and inputting the real-time fault waveforms into the fault diagnosis model, and outputting a fault type corresponding to the fault waveform graph by the fault diagnosis modelaccording to the corresponding table. According to the invention, a convolutional neural network is used for analyzing the fault waveform to identify the corresponding fault type; the whole fault identification process is automatically carried out without human intervention; the calculation process is efficient and accurate; a phenomenon that lots of time costs and manpower costs are spent in manual fault diagnosis is avoided; and the working efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of electric power diagnosis, in particular to a DC system fault diagnosis method, system and equipment. Background technique [0002] At present, in the converter station, when an abnormality occurs in the DC system, relevant information will be reported in the sequential event record of the workstation, and then the waveform is called out through the fault recording device for manual analysis and the fault category is found through on-site investigation. [0003] However, as more and more DC systems are put into operation, and the grid structure becomes more and more complex, there are certain deficiencies in the way of manually troubleshooting the types of faults. For example, the effect of multi-fault troubleshooting is poor, and the analysis ability and on-site experience of troubleshooting personnel are required to be high, which makes the current diagnosis of DC system fault categories a technical prob...

Claims

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Application Information

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IPC IPC(8): G01R31/00G06N3/04G06N3/08
CPCG01R31/00G06N3/084G06N3/045
Inventor 寻斌斌杨煜李岩李明黄伟煌陈俊李志平
Owner CHINA SOUTH POWER GRID ELECTRIC POWER RES INST
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