A Transformer Live Detection Method Based on Dynamic Time Algorithm

Abstract

The invention discloses a live detection method for a transformer based on a dynamic time algorithm, and relates to the technical field of transformer fault diagnosis. The acoustic vibration array is used to collect transformer acoustic vibration signals from a variety of transformers operating under normal conditions, and the collected transformer acoustic vibration signals are collected using a spectrum subtraction algorithm. The transformer acoustic vibration signal is preprocessed to obtain a pure acoustic vibration signal; through the Mel frequency scale cepstral coefficient based on Fourier and cepstrum analysis, the feature quantity, that is, the template feature, is extracted from the pure acoustic vibration signal; The signal-to-noise ratio management spectral subtraction algorithm detects the acoustic vibration signal of the transformer to be tested; the feature quantity is extracted using the same method as above; the time series of the acoustic vibration signal feature vector is used to compare the similarity with the template feature, and the feature quantity with the highest similarity Statistics are carried out to obtain the identification results, thus effectively solving the problem of slow speed in the identification of faulty transformer acoustic vibration signals.

Description

technical field [0001] The invention belongs to the technical field of transformer fault diagnosis, and in particular relates to a transformer live detection method based on a dynamic time algorithm. Background technique [0002] Among the various equipment in the power system, the transformer is one of the more expensive and very important equipment, and its safe operation is of great significance to ensure the safety of the power grid. Based on its own price alone, the price of imported 250MVA / 500kV transformers is basically around 4 million US dollars per 3 sets, with an average of 1.33 million US dollars per set. The same specification is about 10 million yuan / set. If a large-scale power transformer has an accident during operation, it may cause a large-scale power outage, and the maintenance period generally takes more than half a year, which not only costs a lot, but also affects a wide range of areas. [0003] Our country has an early understanding of the importan...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a transformer live detection method based on dynamic time algorithm, thereby overcoming the shortcomings of traditional transformer fault diagnosis methods, such as short-circuit impedance method, frequency response method, low-voltage pulse method, dissolved gas analysis method, etc. Insufficient and insufficient, and less algorithm development of transformer live detection system based on acoustic vibration array and voiceprint imaging, which brings problems of poor accuracy and slow calculation speed to transformer fault diagnosis

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