Study on fault diagnose method combining DCT and SVM
Huanlong Zhang · Computer Engineering and Applications Journal · 2008
Aiming at the problem of too high dimension of sample data leading to too much SVM studies in the researches of fault diagnose,This paper proposes a new SVM fault diagnose method based on DCT,using the energy compactionandhigh frequency suppressionfeatures of DCT,which used in the process of image compression.At first,reduce the dimension of fault samples in light of the method of DCT.Secondly,train the main coefficients of DCT instead of the original samples using SVM so as to restrain the effect of noise for fault classification greatly,and reduce the computation in the process of diagnosis.Finally,the validity of the algorithm is proved by experiment simulation.