Transformer operation state vibration sound detection signal reconstruction method and system using data regularization

Abstract

The embodiment of the invention discloses a transformer operation state vibration detection signal reconstruction method and system using data regularization. The method comprises the following steps:step 1, inputting a measured vibration sound signal sequence S; step 2, carrying out data conversion on the vibration sound signal sequence S to obtain a vibration sound signal segment sequence si, i= 1, 2 - I, wherein I represents the number of the vibration sound signal segment sequences; step 3, carrying out regularization processing on the vibration sound signal segment sequences si, i = 1,2 - I, and obtaining a vibration sound signal segment sequence with noise filtered: FORMULA, wherein formula is the square of a l2 model, x is a first temporary vector, and omega is a regularization vector, wherein the value is as follows: omega = [ 0 1 1 0 1 1 0 ] T; and step 4, rearranging the vibration sound signal segment sequence si, i = 1, 2 - I, and obtaining a reconstructed vibration soundsignal sequence SNEW, wherein t is a second temporary vector, and the value of the second temporary vector is as follows: if 7I = N, t = SNEW, otherwise, FORMULA, wherein the formula represents elements from No. 7 (I-1) + 1 to No. N in the Ith vibration sound signal segment sequence with noise filtered.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a filtering method and system for a vibration-acoustic detection signal of a transformer operating state. Background technique [0002] With the rapid development of smart grid, the safe and stable operation of power equipment is particularly important. At present, it is more and more important and urgent to carry out the operation status detection of power equipment with ultra-high voltage and above voltage levels, especially the detection of abnormal status. As an important part of the power system, the power transformer is one of the most important electrical equipment in the substation, and its reliable operation is related to the security of the power grid. Generally speaking, the abnormal state of the transformer can be divided into iron core abnormality and winding abnormality. Iron core anomalies mainly manifest as iron core saturation, and winding anomalies usually includ...

AI Technical Summary

Problems solved by technology

[0005] Since the vibration-acoustic detection method uses the vibration detector to detect the vibration signal sent by the transformer, the vibration detector may not work properly due to various reasons, and it is easy to cause the missing vibration-acoustic signal received. Using these incomplete vibration-acoustic signals is The operating state of the transformer cannot be detected correctly, so how to effectively reconstruct the incomplete vibration-acoustic signal is the key to the success of this method

The current commonly used methods have not paid enough attention to this problem, and have not taken effective measures to solve this problem

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