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A new method is presented to exactly forecast trend of running state trend for the microprocessor protective device based on LS-SVM to realize condition maintenance. LS-SVM is introduced to forecast state trend of the microprocessor protective device. The real-time current, history overhauling data of microprocessor protection deceive and fault corresponding running state are chosen as input value,...
Analog fault diagnosis has been an active area of research since the mid-1970s, now many diagnosis methods use neural networks. But it needs lots of fault samples and it is also not easy to train the neural network. We have presented a analog-circuit fault diagnosis method based on LS-SVM. To reduce the fault feature vectors to train LS-SVM, we use the energy of high frequency of wavelet transform...
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