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Deteriorated insulator prediction method based on lifting wavelet time series method

A technology of deteriorating insulators and time series, which is applied in the direction of using optical methods to test, measure electricity, and measuring devices. It can solve the problems of insulator steel caps bursting, insulator strings falling, and wires falling to the ground. It achieves large randomness and large fluctuations. , the effect of strong processing ability

Inactive Publication Date: 2018-11-02
湖南湖大华龙电气与信息技术有限公司 +2
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AI Technical Summary

Problems solved by technology

If an insulator string with degraded insulators has a power frequency flashover or is struck by lightning, a large current will flow through the inside of the insulator, and the thermal effect generated by the strong current will often cause the steel cap of the insulator to burst or fall off, resulting in the insulator string falling off, Serious accidents such as wire falling

Method used

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  • Deteriorated insulator prediction method based on lifting wavelet time series method
  • Deteriorated insulator prediction method based on lifting wavelet time series method
  • Deteriorated insulator prediction method based on lifting wavelet time series method

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Embodiment

[0058] The insulator strings of a 220kV transmission line are detected by the online detection method of disc-shaped suspension porcelain insulators based on infrared thermal images. Each string of insulators contains 14 insulators of the same type. The following is the diagnostic process:

[0059] (1) Collect the infrared thermal image spectrum of the insulator string to be diagnosed at different intervals, extract the steel cap temperature of each insulator in the infrared thermal image spectrum of the insulator string as a feature quantity, and improve the wavelet algorithm by splitting, predicting, and updating three steps Complete data preprocessing. Use the time series method to obtain the forecast results according to the following flow chart.

[0060] (2) Extract the steel cap temperature and disk surface temperature of each insulator in the infrared thermal image spectrum of the insulator string to be diagnosed in (1), as shown in the following table:

[0061] ...

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Abstract

The invention discloses a deteriorated insulator prediction method based on a lifting wavelet time series method. The deteriorated insulator prediction method comprises the specific steps of: (1) datapreprocessing process; (2) model parameter identification process; (3) model diagnosis and inspection process; 4) and prediction of a low zero-value state of an insulation through combining temperature features of an insulator disc surface and a steel cap for determining a deteriorated insulator. The deteriorated insulator prediction method has an effect of improving the detection accuracy rate of deteriorated insulators.

Description

technical field [0001] The invention belongs to the technical field of operation, maintenance and repair of high-voltage power transmission and transformation equipment, and in particular relates to a method for predicting a deteriorated insulator based on a lifting wavelet time series method. Background technique [0002] Insulators are an important part of overhead transmission lines. They are the most widely used high-voltage insulating components in power systems. On the one hand, they provide mechanical support for high-voltage wires that transmit current, and on the other hand, they prevent the current in the line from forming a channel to the ground and flowing into the ground. . Porcelain disc insulators are mainly used in transmission lines and substations in my country. Insulators in operation have been working for a long time in a complex environment where strong electric fields, mechanical stress, pollution, and harsh weather coexist. Low-value (10-500MΩ) or ze...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12
CPCG01R31/1218G01R31/1245
Inventor 尹骏刚王欣周友维李凯迪李宁
Owner 湖南湖大华龙电气与信息技术有限公司
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