Oil chromatogram online monitoring data change trend detection method based on wavelet maxima

A technology for monitoring data and changing trends, applied in the measurement of electrical variables, electrical digital data processing, special data processing applications, etc. Effect

Inactive Publication Date: 2018-10-12
NANJING INST OF TECH
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Problems solved by technology

The analysis of a large amount of data shows that the rapid gas gradient may be caused by the accelerated aging or latent failure state of the equipment

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  • Oil chromatogram online monitoring data change trend detection method based on wavelet maxima
  • Oil chromatogram online monitoring data change trend detection method based on wavelet maxima
  • Oil chromatogram online monitoring data change trend detection method based on wavelet maxima

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] 1. Analysis of two kinds of abnormal change trends of rapid gradual change and jump change of oil chromatography online monitoring data

[0037] The gradual change phenomenon of oil chromatogram means that after a certain inflection point, the overall change trend of the state quantity rises rapidly, but most of the state quantity and absolute rate do not exceed the attention value, and the change trend shows no signs of slowing down. The analysis of a large number of data shows that the gradual trend may be caused by the latent fault of the transformer. Such as figure 1 .

[0038] The jump phenomenon of oil chromatography online monitoring data means that the change trend of online monitoring in the previous period is normal, and at a certain moment, the value suddenly changes greatly, and an obvious jump occurs. Analysis of monitoring data shows that jumps ...

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Abstract

The invention discloses an oil chromatogram online monitoring data change trend detection method based on wavelet maxima. The basis is provided for timely monitoring of the abnormal change of the oilchromatogram by the popularization of a large number of oil chromatogram online monitoring devices. The abnormal change of the oil chromatogram data is classified as the fast gradient type and the jump type according to online monitoring data analysis. Firstly a function model is established for the oil chromatogram online monitoring data based on the time sequence and the fitting residual is calculated; then wavelet analysis of the fitting residual is performed so that the abnormal data of the oil chromatogram data can be identified; and finally wavelet decomposition is performed on the fitting residual under two different wavelet scales by using the relationship between the wavelet transform modulus maxima and the Lipschitz exponent so as to identify the abnormal gradient and jump type of the oil chromatogram online monitoring data. The practice proves that the abnormal change trend of the oil chromatogram online monitoring data can be detected, the latent fault can be discovered intime and the operation reliability of the transformer can be enhanced by the oil chromatogram abnormal data detection method.

Description

technical field [0001] The invention relates to a state evaluation technology of a power transformer, in particular to a method for detecting a change trend of oil chromatography online monitoring data based on a wavelet maximum value. Background technique [0002] Transformer is one of the most important electrical equipment in the power system, which directly affects the safe operation level of the system. Once an accident occurs, it will cause huge direct and indirect losses. Oil chromatographic analysis is an important means to monitor the internal operation status of transformers. At present, most transformer faults are discovered through oil chromatographic analysis. Traditional oil chromatographic analysis is mainly based on static data from regular inspections. It is difficult to analyze the dynamic trend of oil chromatographic data and timely Found latent transformer faults. In recent years, power companies have installed a large number of online oil chromatography...

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Application Information

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IPC IPC(8): G01R31/02G01N30/00G06F17/50
CPCG01N30/00G01R31/62G06F30/20
Inventor 郝思鹏王东吴善
Owner NANJING INST OF TECH
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