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In this paper, a fault diagnosis method based on support vector machine (SVM) is proposed for gas turbine bearing. Firstly, through analysis and processing of vibration signals, the singular value decomposition related EEMD technique is applied to extract feature vectors of the signals. The results are used as the input of SVM classifier model. Then, by using the SVM network intelligence, the turbine...
In some developed countries, the automatic vehicle recognition is a quite mature technology. This paper applies the multi-classification method based on support vector machine (SVM) to vehicle recognition. Support vector machine, appeared recently, is a new theory and technology in the filed of pattern recognition and has shown excellent performance in practice. This method was proposed basing on...
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