Transformer model measurement and analysis method

Abstract

The invention discloses a transformer model measurement and analysis method, which comprises the following steps: respectively acquiring a vibration signal and temperature of transformer equipment through an acceleration sensing module and a temperature sensing module, and carrying out feature extraction on the vibration signal; acquiring a load value on the transformer equipment by using a power meter; and training a neural network according to the extracted vibration signal features, temperature and load values, generating a measurement network model in combination with a genetic algorithm, and obtaining a visual analysis report through the measurement network model. According to the method, the corresponding measurement network model is obtained by combining the vibration signal, the temperature and the load and performing matching based on the neural network, so that a transformer model is suitable for the adaptive matching process of different acquired data, and a corresponding measurement basis is provided for dynamic analysis of the transformer; and in the data collection process, an acceleration sensing module, an anti-aliasing low-pass filter circuit and an ADS analog-to-digital converter are designed to provide an accurate data source for a transformer model.

Description

technical field [0001] The invention relates to the technical field of transformer analysis, in particular to a transformer model measurement and analysis method. Background technique [0002] Model measurement analysis in power distribution equipment involves vibration monitoring, load monitoring, temperature monitoring of transformers, etc. The winding vibrates under the action of the electromotive force generated by the load current, and the iron core also vibrates due to magnetostriction. The vibration of the winding and iron core is transmitted to the surface of the fuel tank through the insulating oil and body of the transformer, causing the vibration of the fuel tank. The vibration signal on the surface of the oil tank is closely related to the deformation and compaction of the winding and iron core, so observing the vibration signal on the surface of the oil tank can reflect the condition of the iron core and winding during the operation of the transformer. This is t...

AI Technical Summary

Problems solved by technology

[0003] Existing transformer model measurement and analysis methods cannot perform overall analysis on vibration signals, temperature signals, and load states, so as to match the state of the transformer model corresponding to the measurement. The traditional measurement and analysis of transformer models only analyzes a certain signal, resulting in Its transformer model load measurement is inaccurate and inefficient

The data calculation is not accurate, the amount of information is not too rich, and the corresponding transformer measurement model cannot be fully reflected.

Images