Fault prediction of variable-pitch driver in wind power generator based on grey theory
Abstract：In order to improve the reliability of variable-pitch driver in wind power generation system,the fault prediction method based on the detection of conduction voltage drop UCE of IGBT and with adopting the innovation grey prediction algorithm was proposed.The UCE of IGBT in future time was predicted through constructing the GM（1,1） grey prediction model using the past data of UCE.When the predicted UCE value is over the threshold value,the system will offer the alarm and the turbine will shut down.To ensure the greenness degree of the prediction model,the data sequence was momentarily renewed with adopthing the equal dimension metabolism algorithm and on the basis of the practical situation.The gray prediction method with variational step-length was put forward,and the empirical formula for step-lenth selection was derived based on the experimental data.The UCE detecting circuit with the high anti-interference capability,high response speed,good reliability and simple structure was designed.The experimental result shows that the equal dimension metabolism grey prediction algorithm can effectivly predict the UCE of IGBT and improve the reliability of stopping wind power generator.
Keywords：variable-pitch driverreliabilityinnovation grey theoryequal dimension metabolism algorithmGM（11） modelgrey predictioninverter circuitUCE of IGBT
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)