Fault Diagnosis Method for Rectifier Transformer Abnormal Trip Based on Association Rule Mining and Combination Weighting-cloud Model
As the main component in the power industry,the rectifier transformer is related to the reliability and availability of the rectifier system operation.When the rectifier transformer has natural or artificial fault,if it can not be controlled in time,it causes power interruption and other problems.Therefore,the diagnosis method of abnormal tripping fault of rectifier trans-former based on association rule mining and combined weighting-cloud model is proposed.The analysis process is set by associ-ation rule mining technology and the connection between the operation data of rectifier transformer is defined by data support and association rule confidence.The data types are divided in the combined weighting-cloud model to obtain the specific charac-teristics of abnormal trip of rectifier transformer.The power loss is calculated under the principle of phase-shifting filter and the corresponding eigenvector is used to diagnose the transformer fault,realizing the design of fault diagnosis method for abnor-mal trip.The experimental results show that under the test conditions of five conditions that cause abnormal trip of rectifier transformer and normal conditions,the method in this paper can form judgment in time and correctly classify different fault types,which has application value.
association rulerectifier transformerabnormal tripfault diagnosis
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