Power transformer winding fault diagnosing method

A technology of power transformers and transformer windings, which is applied in the field of measurement systems, can solve problems such as the inability to effectively extract the characteristic information of the physical meaning of non-stationary signals, and achieve the effect of improving accuracy and precision

Active Publication Date: 2012-11-21
JIAXING UNIV
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Problems solved by technology

The short-time Fourier transform (STFT) and wavelet transform (WT) in the traditional Fourier transform (FFT) and time-frequency analysis methods cannot...

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  • Power transformer winding fault diagnosing method
  • Power transformer winding fault diagnosing method
  • Power transformer winding fault diagnosing method

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Embodiment Construction

[0020] There are many forms of power transformers, but the diagnosis theory based on the change trend of interval energy is the same. The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] refer to figure 1 , The structural composition of the present invention includes an excitation signal source 1, a transformer winding 2, a high-speed data acquisition card 3 and an industrial computer 4. In this embodiment, the excitation signal source 1 is an Agilent 33220A function / arbitrary waveform generator, and the required waveforms are frequency sweep signals and IEC standard lightning pulses. At the same time, the input impedance 5 of the signal generator is set to 50Ω, and a coaxial shielded wire is used Connect with the excitation terminal 21 of the transformer winding 2, and apply a sine wave excitation signal source voltage (V s ) for excitation, and connect the high-speed data acquisition...

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Abstract

The invention provides a power transformer winding fault diagnosing method, by which winding deformation fault diagnosis is performed through combination of frequency response analysis (FRA) and empirical mode decomposition (EMD). According to the power transformer winding fault diagnosing method, on the basis of energy change information in each interval during a winding deformation fault as well as the adaptive decomposing capacity of the empirical mode decomposition (EMD), a fault energy characteristic quantity of a winding is extracted to establish a fault energy database; the fault energy characteristic quantity is compared with an energy curve of a transformer winding without a fault; the change trend of the characteristic energy shows the working state of the transformer; and the method is used for establishing a mapping relationship between an intrinsic mode function of the winding deformation and an intrinsic mode function of an FRA signal and establishing an integrated fault diagnosis analysis system based on characteristic energy information of the EMD. The integrated fault diagnosis analysis system can accurately know a basic rule of the change of the transformer winding deformation energy and provides a new research way for determining the type and the degree of a transformer fault and estimating the developmental trend of the fault.

Description

technical field [0001] The present invention relates to a measurement system related to fault diagnosis of power transformer windings, which combines Frequency Response Analysis (FRA) and Empirical Mode Method (EMD), and uses a characteristic energy method based on Empirical Mode Method (EMD) as Transformer winding deformation fault characteristic information, the size of the characteristic energy reflects the working state of the transformer. Background technique [0002] Due to the continuous expansion of the grid pattern and the continuous growth of power transmission capacity, it is necessary to effectively ensure the safe and stable operation of the power system. The power transformer is responsible for the conversion of voltage and current and the task of power transmission, and is one of the most important equipment in the system. Fault analysis on power transformers shows that windings are one of the most important and most fault-prone components in transformers. A...

Claims

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Application Information

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IPC IPC(8): G01R31/06
Inventor 钱苏翔顾小军杜琦胡红生许聚武沈晓梅
Owner JIAXING UNIV
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