Transformer fault diagnosis method

Abstract

The invention discloses a transformer fault diagnosis method, and the method comprises the steps: step1, a vibration signal of a transformer is acquired, and noise reduction preprocessing is performed on the vibration signal; step2, EMD decomposition is performed, obtained IMF components are selected according to set critical values, so that the IMF components with low amplitude are removed can be prevented; step3, wavelet analysis is performed, and feature vectors after de-noising are obtained; step4, a three layers BP neural system is constructed, feature vectors extracted from the wavelet analysis serves as input vectors of BP neural network training to train, and a fault signal is outputted. According to the invention, methods such as the wavelet analysis and the like are adopted to remove interference signal in the fault signal, transformer internal fault occurrence and development multi-process and multi-fault multiple modes are diagnosed through the neural network, the transformer fault can be quickly and accurately diagnosed, the fault diagnosis efficiency is improved, the service life of the transformer is prolonged, the unnecessary costs is reduced, and the cost is saved.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method, which belongs to the field of power supply. Background technique [0002] The substation is a place to change the voltage. In order to transmit the electric energy from the power plant to a distant place, the voltage must be raised to high-voltage electricity, and then the voltage is lowered as needed near the user. The work of this voltage raising and lowering depends on The main equipment of the substation is a transformer and a switch. [0003] Transformer failure has always been the main factor that endangers the safety of the power grid. Transformer failure is usually accompanied by arcing and discharge and violent combustion, and then short circuit or other failures occur in power equipment, ranging from power outages for maintenance, directly affecting production, and even severe cases. The explosion caused heavy economic losses. [0004] It can be seen that the power transformer i...

AI Technical Summary

Problems solved by technology

[0005] For transformers, at present, oil is mostly used for insulation and heat dissipation. Under operating voltage, transformer oil and solid insulating materials in oil will gradually deteriorate due to various factors such as electricity, heat, oxidation, and local arcing, and crack to produce a small amount of low molecular weight. The latent overheating or discharge fault inside the hydrocarbon transformer will accelerate the rate of gas production

Images