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

DOI

10.2991/icacsei.2013.25How to use a DOI?

Keywords

LS-SVM, fault diagnosis, marine power station.

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Li wei Chen
AU  - Huan Liu
PY  - 2013/08
DA  - 2013/08
TI  - Application of LS-SVM in fault Diagnosis for Diesel Generator Set of Marine Power Station
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 101
EP  - 104
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.25
DO  - 10.2991/icacsei.2013.25
ID  - Chen2013/08
ER  -