Transformer fault analysis system based on acoustic shock detection

Abstract

The invention discloses a transformer fault analysis system based on acoustic shock detection. The transformer fault analysis system comprises a data acquisition system and a data analysis system which are mutually connected, and is characterized in that the data acquisition system comprises an acoustic data acquisition module and a transformer parameter acquisition module, the acoustic data acquisition module comprises a sound intensity sensor, a vibration sensor and a sound sensor, the data analysis system comprises a clock system, a signal feature extraction and classification module and asignal recognition and fault diagnosis module, and the signal feature extraction and classification module and the signal recognition and fault diagnosis module are connected with the clock system; and the signal feature extraction and classification module comprises a feature extraction module and a feature database, the feature extraction module is connected with the data acquisition system, andthe signal recognition and fault diagnosis module operates on a microcomputer system. The transformer fault analysis system represents an automatic recognition and identification technology for the operating state of a transformer through acquiring acoustic signals of the transformer and performing state recognition and marking on the acoustic signals, and finally achieves fault analysis and diagnosis for the transformer.

Description

technical field [0001] The invention relates to the technical field of a transformer fault detection and analysis method, in particular to a transformer fault analysis system based on acoustic wave oscillation detection. Background technique [0002] During the operation of the transformer, mechanical deformation is generated under the joint action of internal current, magnetic field and other factors, and the signal is transmitted through its own structure, and this signal is transmitted through the surrounding air medium, generating the sound signal of the transformer's operation. These signals can reflect the operating condition of the transformer. Experienced technicians can often judge the operation status of the transformer by listening to the internal sound of the transformer through an industrial stethoscope, find faults and even roughly locate the fault. This widely used diagnostic modality relies heavily on the competent judgment and personal experience of the tec...

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Problems solved by technology

[0006] Patent No. 201611178523.0 discloses a transformer state analysis and fault diagnosis method and system, which is used to solve the problem that the online monitoring of transformers in the prior art is isolated one-dimensional data, which cannot fully reflect the state of the transformer and the evaluation method of state monitoring Technical problems in the judgment and evaluation method for setting threshold values ​​that are extremely unreasonable

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