Application of Multivariate Statistical Theory in Fault Diagnosis of Rectification Circuit
Fei Yu · 2007
On the basis of the research on the characteristics of the three-phase thyristor rectification circuit,we adopt principal component analysis and decision tree to diagnose faults in rectification circuit.Firstly,we sample the output waveforms of the rectification circuit,apply fast Fourier transform(FFT) and extract values corresponding to key frequency points to constitute feature vectors.Based on principal component analysis method,the principal components and compacted feature space are obtained,then several typical fault patterns are separated successfully by decision tree.Simulation result proves that this method can improve identification speed and test speed,simultaneously,distribution of the sample is unchangeable and classification information of the sample is retained.