Fault diagnosis system based on evidence theory

A technology of fault diagnosis system and evidence theory, applied in the direction of measuring devices, instruments, biological neural network models, etc., can solve problems such as social impact, transformer equipment assets, and large power outage losses, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-11-06
中电华创(苏州)电力技术研究有限公司
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  • Abstract
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Problems solved by technology

Once a transformer accident occurs, it may cause huge losses such as equipment assets and blackouts, and even have serious social impacts

Method used

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  • Fault diagnosis system based on evidence theory
  • Fault diagnosis system based on evidence theory
  • Fault diagnosis system based on evidence theory

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Embodiment Construction

[0012] The present invention is further described in conjunction with the following examples.

[0013] see figure 1 , a fault diagnosis system based on evidence theory in this embodiment includes a sensor acquisition module 1, a data preprocessing module 2, a primary diagnosis module 3, a comprehensive diagnosis module 4 and a result display module 5, and the sensor acquisition module 1 is arranged by Multiple sensors in the transformer collect data on transformer parameters, and the data preprocessing module 2 is used to preprocess the collected data, and input the preprocessed data to the primary diagnosis module 3 after fuzzy processing , the primary diagnosis module 3 uses a neural network to process the fuzzy sensor data to obtain a primary diagnosis result, and the comprehensive diagnosis module 4 uses evidence theory to fuse the primary diagnosis results to obtain the final fault of the equipment Diagnosis result, the result display module 5 adopts LED display to displ...

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Abstract

The invention discloses a fault diagnosis system based on the evidence theory, and the system comprises a sensor acquisition module, a data preprocessing module, a primary diagnosis module, a comprehensive diagnosis module and a result display module. The sensor acquisition module collects data of transformer parameters through a plurality of sensors. The data preprocessing module is used for carrying out the preprocessing of the data, and the primary diagnosis module is used for carrying out the primary diagnosis of a device according to the preprocessed sensor data. The comprehensive diagnosis module uses the evidence theory to carry out the comprehensive diagnosis of the device according to the primary diagnosis result. The result display module uses an LED display to display the faultdiagnosis result in real time, and performs early warning when the device is diagnosed to have a fault. The beneficial effects of the invention are that the system employs the neural network for processing the sensor data after fuzzification to obtain a primary diagnosis result of transformer fault; the system employs the evidence theory for further diagnosing the transformer fault according to the primary diagnosis result, thereby improving the accuracy of the diagnosis result.

Description

technical field [0001] The invention relates to the field of transformer detection, in particular to a fault diagnosis system based on evidence theory. Background technique [0002] The power transformer is the core of energy conversion and transmission in the power grid, and the key hub equipment in the first defense system of power grid security. At present, there are many transformers in our country that have been in operation for a long time. These transformers in operation are facing the problems of insulation aging and equipment failure that may occur at any time, and the probability of accidents continues to increase. Once a transformer accident occurs, it may cause huge losses such as equipment assets and blackouts, and even have serious social impacts. Therefore, it is of great theoretical and practical significance to carry out effective fault diagnosis research on power transformers to guide the operation and maintenance and condition-based maintenance of transfo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/02G06N3/04
CPCG01R31/62G06N3/043
Inventor 邱林新
Owner 中电华创(苏州)电力技术研究有限公司
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