Method and system for detecting vibration and sound of transformer operating state using principal components

Abstract

The embodiment of the present invention discloses a method and system for detecting vibration and sound in transformer operating state using principal components. The method includes: step 1, inputting the measured vibration and sound signal sequence S; step 2, according to the vibration and sound signal sequence S The weighted sum of the principal components can be used to judge the operating state of the transformer. Specifically: if the weighted sum of the principal components c K = ω K P K ≥T 0 , then the transformer is in an abnormal operation state at the Kth point of the vibration-acoustic signal sequence S, otherwise the transformer is in a normal operation state. Among them, ω K is the weight vector; P K The principal component vector corresponding to the Kth point of the vibration-acoustic signal sequence S; T 0 is the judgment threshold.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a method and system for detecting vibration and sound in the operating state of a transformer. 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 state detection of the power equipment with ultra-high voltage and above voltage level, especially the detection of abnormal state. 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 safety of the power grid. [0003] The basic principle of transformer operation state detection is to extract various characteristic quantities in the operation of the transformer, analyze, identify and track the characteristic quantities to monitor the abnorma...

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Problems solved by technology

[0004] Although the transformer vibration and sound detection method is widely used in the monitoring of transformer operation status, and the technology is relatively mature, but because the vibration and sound detection method uses the vibration signal sent by the transformer, it is easily affected by environmental noise, so this method is not suitable for practical work. Unsatisfactory results are often not obtained when applied in the environment

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