Introduction of SVM algorithms and recent applications about fault diagnosis and other aspects

Support vector machine has obtained more and more attentions as a new method of machine learning based on the statistic learning theory. At the same time, there are increasing concerns about the fault diagnosis for practical engineering systems. Firstly, many kinds of SVM algorithms will be introduced, such as LS-SVM, LSVM and PSVM and so on. Besides, the advantages and disadvantage of those methods will be introduced. Finally, we discuss fault diagnosis and other aspects´ recent applications and the directions we should research in the future.