Application of LS-SVM in fault Diagnosis for Diesel Generator Set of Marine Power Station

In this paper support vector machine (SVM) algorithm being discussed, then discussed least squares support vector machine(LS-SVM) algorithm, at the same time, the applications of SVM in the fault diagnosis of turbocharger system for diesel generator set of marine power station being discussed, the least squares support vector machine algorithm being used in the research of fault diagnosis, being compared with BP neural network, experiments result show the operation speed of the least squares support vector machine algorithm is fast, its generalization ability is stronger, SVM can solve small sample learning problems as well as no-linear, high dimension and local minimization problems in the fault diagnosis of turbocharger system for diesel generator set of marine power station. Index Terms LS-SVM, fault diagnosis, marine power station.