System and method for judging interior looseness of power transformer

Abstract

The invention discloses a system and method for judging interior looseness of a power transformer. The system for judging and initially positioning interior looseness of the power transformer comprises a signal conditioning circuit, a data acquisition instrument, a data analysis module and three vibration sensors, wherein the signal conditioning circuit, the data acquisition instrument and the data analysis module are sequentially connected. The three vibration sensors are connected with the data acquisition instrument through the signal conditioning circuit and measure vibration signals of three phases of the power transformer correspondingly, the vibration signals are amplified, filtered and denoised by the signal conditioning circuit and then transmitted to the data acquisition instrument, the data acquisition instrument transmits the acquired vibration signals to the data analysis module, and the data analysis module stores and processes the vibration signals and carries out fault judgment. The looseness fault of the transformer is judged through 100 Hz signals in the vibration signals according to the characteristic of change of the vibration signals along with the looseness degree.

Description

technical field [0001] The invention belongs to the technical field of intelligent substations, and in particular relates to a system for judging internal looseness of a power transformer and a method thereof. Background technique [0002] The loose deformation of the iron core and winding of the power transformer will pose a huge threat to the safe operation of the transformer. Therefore, it is very important to monitor the operation status of the transformer online and find hidden troubles in time. The state monitoring method of the power transformer based on the vibration signal is convenient to realize, the monitoring system has no electrical connection with the transformer, and does not affect the normal operation of the equipment. The prior art studies transformer vibration, analyzes the change of the 100Hz signal in the vibration signal of the oil tank after the transformer internal iron core fails, and analyzes the influence of transformer voltage and current changes...

AI Technical Summary

Problems solved by technology

However, the overall value of 50Hz, 150Hz, and 300Hz signals is very small, and the requirements for vibration monitoring accuracy are relatively high

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