Method for evaluating health state of transformer based on vibration signal characteristics of multiple measuring points

Abstract

The invention provides a method for evaluating the health state of a transformer based on vibration signal characteristics of multiple measuring points. The method evaluates the health state of the transformer by selecting vibration signal frequency complexity, vibration signal frequency spectrum energy percentage, and vibration signal certainty as characteristic quantity, and comprises steps of: firstly, analyzing the certainty of the vibration time-domain signal of each measuring point, determining whether the vibration signal is periodical, and preliminary evaluating the health state of each measuring point of the transformer; then analyzing the frequency-domain signal characteristic of each measuring point, selecting the frequency complexity and the vibration signal frequency spectrum energy percentage as characteristic indexes, wherein the greater the frequency complexity is, the more complex the vibration signal frequency components are, and the greater the high-band frequency spectrum energy percentage is, the more the radio-frequency components are; and finally, evaluating the health state of the transformer according to the time-domain and frequency-domain characteristics of the vibration signal.

Description

technical field [0001] The invention belongs to the technical field of transformers, and relates to a method for evaluating the health status of transformers based on vibration signal characteristics of multiple measuring points. Background technique [0002] As an important part of the power system, the safe and reliable operation of power transformers is the prerequisite for ensuring the stable operation of the power system. Studies have shown that most transformer faults occur on transformer windings and iron cores. When transformer windings and iron cores become loose or deformed, the mechanical structure of the transformer will change, thereby changing the stress and vibration of the windings and iron cores. Vibration analysis is a health assessment method based on vibration signals, which has been widely used in transformer health assessment. When the transformer is abnormal, the vibration generated by the winding and iron core will be transmitted to the oil tank wall...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a transformer health assessment method based on multi-measuring point vibration signal characteristics, which solves the problem that the existing transformer condition assessment method cannot effectively assess the transformer health condition, and the calculation process is cumbersome and the response speed is slow.

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