Time Sequence Data-based Method of Diagnosing Abnormal Deformation of Main Transformer Windings in Thermal Power Plants
It is generally only after power outage can detection of main transformers in thermal power plants be carried out. This limits the accuracy of diagnostic results for abnormal operation.Therefore a method of diagnosing abnormal de-formation of main transformer windings based on time sequence data was studied.First the deformation time sequence da-ta of windings were preprocessed to obtain more accurate data.Second the set of abnormal deformation factors was deter-mined according to the preprocessed data.Then the abnormal deformation was located by inputting the set of abnormal deformation factors,and the degree of deformation fault can be determined,achieving diagnosis of abnormal deformation.The experimental results show that this method can accurately diagnose abnormal winding deformation and has higher practical applicative value.
time sequence datathermal power plantmain transformerwinding deformation
NETL
NSTL
万方数据
维普
