Converter transformer fault online diagnosis method based on three-sensor reasoning

A technology for converter transformers and diagnostic methods, applied to instruments, measuring electrical variables, measuring devices, etc., can solve problems such as insufficient diagnostic accuracy, lack of real-time early warning diagnosis of converter transformers, and failure to fully reflect converter transformer faults, etc. To achieve the effect of improving the recognition accuracy

Active Publication Date: 2015-02-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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Problems solved by technology

[0003] At present, there are few methods for fault diagnosis of converter transformers, and a single sensor is mostly used to obtain discharge data during off-line measurement for fault diagnosis. Therefore, this method has the following problems. First, the diagnosis accuracy is insufficient, and the diagn

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  • Converter transformer fault online diagnosis method based on three-sensor reasoning
  • Converter transformer fault online diagnosis method based on three-sensor reasoning
  • Converter transformer fault online diagnosis method based on three-sensor reasoning

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[0023] The present invention provides a fault diagnosis method based on three-sensor inference. The following is an explanation with reference to the drawings.

[0024] Such as figure 1 As shown, the present invention is a converter transformer fault on-line diagnosis method based on three-sensor reasoning. First, the current on-line detector in engineering is used as three types of sensors: UHF, broadband pulse and TEV detector to obtain the converter transformer The method includes the following five steps: (1) Extract effective discharge information from the online data of the actually measured converter transformer, (2) Establishment of three sensor feature spaces, (3) Three feature space fault diagnosis results, (4) Judge the similarities and differences of the three types of fault diagnosis results, (5) Output the final diagnosis results. Due to the inevitable noise signal in the discharge data, which affects the discharge diagnosis, in order to obtain effective discharge ...

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Abstract

The intention discloses a converter transformer fault online diagnosis method based on three-sensor reasoning, and belongs to the technical field of ultra-high voltage direct-current power transmission device fault diagnosis. The method includes the steps of obtaining online data of a converter transformer by using online detection instruments, including the ultra-high frequency detection instrument, the broadband pulse detection instrument and the transient earth voltage (TEV) detection instrument, which can be obtained on projects at present as three sensors; calling the actually-measured online data of the converter transformer to achieve fault diagnosis, wherein effective discharging information is extracted from the actually-measured online data of the converter transformer, three types of sensor characteristic space are established, the fault diagnosis results of the three types of sensor characteristic space are obtained, the differences and similarities of the fault diagnosis results are judged, the diagnosis results are finally output, reasoning is conducted on data of the three sensors, and the final diagnosis results under the condition are obtained. By means of the method, the converter transformer fault diagnosis accuracy is effectively improved, and the online diagnosis of the transformer converter fault is achieved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of ultra-high voltage direct current transmission equipment, and in particular relates to an online fault diagnosis method of a converter transformer based on three-sensor reasoning. Background technique [0002] The UHV DC transmission project is one of the key construction projects in my country. With the operation of the DC transmission line, the safe and stable operation of the DC equipment has been widely mentioned. As the key equipment in the DC transmission system, the normal operation of the converter transformer Operation is related to the stability of the entire DC system. Insulation problems are the main cause of failures of converter transformers. At present, the most effective way to ensure the safe operation of equipment is to realize the fault diagnosis of converter transformers, which is helpful for timely detection of problems, early response, avoiding serious economic loss...

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Application Information

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IPC IPC(8): G01R31/00
Inventor 齐波魏振彭翔吕家圣杨栋许毅夏辉李成榕
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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