Methods for vibration online monitoring and fault diagnosis of power transformer

Abstract

The invention discloses a method for vibration online monitoring and fault diagnosis of a power transformer. The surface vibration of an oil tank of a transformer, the voltage, the current and the oil temperature of the transformer, and the switching values reflecting the on-states of a vibration source fan and the oil tank of the transformer are taken as basic monitoring parameters to be monitored; after signal conditioning is performed on the monitoring parameters, continuous synchronous waveform data sampling, processing and saving are performed; then the processed waveform data are continuously displayed in real time; signal decomposition, multi-parameter correlation analysis and characteristic vector magnitude extraction are performed on the waveform data; and then various characteristic vector thresholds of a specific transformer are compared to analyze and diagnose the operating state and the fault of the transformer. With the method, the operating state of the power transformer can be monitored in real time, and early warning as well as the analysis and the diagnosis of the fault condition of the transformer are provided, thus guaranteeing the secure and stable operation of the transformer.

Description

technical field [0001] The invention relates to a method for monitoring the working state of a power transformer, in particular to a method for on-line monitoring and fault diagnosis of the working state of the power transformer. Background technique [0002] Large power transformer is one of the most important and valuable key equipment in the power system, and its safe operation is of great significance to ensure the safety and reliability of the power grid. Once an accident occurs during operation of a large power transformer, the maintenance period is very long, the maintenance cost is very high, and it may also cause a sudden large-scale power outage, resulting in huge direct and indirect economic losses. If online condition monitoring and fault diagnosis are carried out on the power transformer in operation, the abnormality, fault and damage of the transformer can be found in time, which can not only prevent the occurrence of sudden accidents of the transformer, but al...

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Problems solved by technology

However, this method is aimed at analyzing the vibration parameters of a specific transformer with or without DC bias, and cannot give the status of major faulty components such as transformer windings, iron cores, and on-load tap-changers, because there is no introduction and sampling associated with transformer vibration. The signal of the working state of the transformer, such as voltage, current, oil temperature and fan, oil pump, etc., has certain limitations in the accuracy, effectiveness and practicability of the state monitoring.

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