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PCA-IA-BPNN-based transformer oil acid value detection method

A technology of transformer oil and detection method, which is applied in the field of transformer detection to achieve on-line monitoring and solve the huge and complex problems

Pending Publication Date: 2021-11-02
云南电网有限责任公司保山供电局
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, since there are additives (such as antioxidants, pour point depressants, etc.) in insulating oil, most of the titration curves have no point breakthrough, and only fixed-point titration can be used, that is, an endpoint potential or endpoint pH is determined in advance. value for potentiometric titration

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  • PCA-IA-BPNN-based transformer oil acid value detection method
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  • PCA-IA-BPNN-based transformer oil acid value detection method

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Embodiment Construction

[0051] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0052] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a PCA-IA-BPNN-based transformer oil acid value detection method, and belongs to the technical field of transformer detection. The method comprises the following steps: S1, conducting multi-frequency ultrasonic detection; S2, carrying out principal component analysis (PCA); S3, establishing a back propagation neural network (BPNN); S4, performing an immune algorithm IA; and S5, establishing a PCA-IA-BPNN-based transformer oil dielectric loss prediction model. By establishing a relationship between an ultrasonic characteristic value and a transformer oil acid value, the transformer oil quality state is monitored through multi-frequency ultrasonic waves, the problems that a traditional detection system is huge and complex in structure and tedious in operation are solved, and online monitoring of operation faults is achieved.

Description

technical field [0001] The invention belongs to the technical field of transformer detection and relates to a method for detecting the acid value of transformer oil based on PCA-IA-BPNN. Background technique [0002] As the hub of the power system, large oil-immersed power transformers are the most expensive and important equipment in the power system. They play a pivotal role in the process of power transmission and transformation. Their safe and reliable operation is of decisive significance to the entire power system. Once the power transformer fails, it will bring huge losses to the national economy. Oil-immersed power transformers use insulating oil as the insulation and cooling medium, which has many advantages compared with air: high insulation strength, which can provide insulating materials with an air-isolated environment and reduce corrosion exposed to the air; the ratio of transformer oil The heat is larger than that of air, and its good heat dissipation perform...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/02G01N29/024G01N29/036G01N29/44G06K9/62G06N3/04G06N3/08
CPCG01N29/02G01N29/024G01N29/036G01N29/44G01N29/4481G06N3/04G06N3/084G06N3/086G01N2291/011G01N2291/012G01N2291/014G01N2291/0226G06F18/2135
Inventor 苏阳张际明李亚权李胜朋李树东朱江彭福茂周渠
Owner 云南电网有限责任公司保山供电局
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