Transformer Internal Fault Detection and Location Method Based on Acoustic Vibration Coupling Signal

Abstract

The invention relates to a method for detecting and locating an internal fault of a transformer based on an acoustic-vibration coupling signal, and belongs to the field of transformer monitoring. This method uses the principle of structural vibration acoustic radiation to couple vibration signals and acoustic signals, separates the internal sound field from vibration acoustic radiation, studies the transmission coefficient of sound waves penetrating through the tank wall, and then inverts to obtain the internal acoustic signal of the transformer. The fault diagnosis process adopts joint analysis of vibration signal and acoustic signal to obtain accurate results of fault status, and realizes internal fault location through sensor array. The invention breaks through the limitation of only using a single signal to evaluate the operating state of the transformer, realizes the measurement of the internal sound field of the transformer without power failure and disassembly, and realizes accurate positioning of fault points while improving detection accuracy.

Description

technical field [0001] The invention belongs to the field of transformer monitoring and relates to a method for detecting and locating internal faults of transformers based on acoustic-vibration coupling signals. Background technique [0002] The transformer is a very important link in the power transmission and transformation system, and its normal operation is of great significance to the power supply reliability, stability and security of the power grid. Transformers are usually expensive to manufacture, and they must be repaired with a power outage in case of failure. Not only the maintenance cost is high and the maintenance time is long, but also it will cause a large-scale power outage, resulting in major economic losses. Once a major accident occurs, it will also cause casualties, and the social impact is extremely serious. In order to avoid these accidents, relevant transformer fault detection and condition monitoring technologies must be paid attention to. [0003]...

AI Technical Summary

Problems solved by technology

However, this method still has some limitations. The measurement results of different measuring points on the transformer oil tank wall are very different, which increases the difficulty of subsequent signal analysis; only collecting vibration signals on the oil tank wall cannot accurately restore the iron core and winding. Due to the complex structure of the transformer, it is impossible to accurately analyze the transmission process of its vibration signal, so it can only preliminarily judge the approximate location of the fault point, and cannot accurately locate the fault point

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