The Application of v-SVC to Fault Diagnosis on The 10000 TEU Container Vessel Main Engine Fuel System
With the development and update of modern marine technology, shipping machinery fault diagnosis also has a new leap forward, especially in the application of intelligent fault diagnosis. This paper focuses on Support Vector Machine theory of intelligent diagnosis, the application of v-SVC to intelligent fault diagnosis on the 10000 TEU container vessel main engine fuel system and verifying the effectiveness of SVM on fault diagnosis by simulation results.
Suppor Vector Machine optimal separating surface fault diagnosis. 10000 TEU container vessel main engine fuel system
Yulong Zhan Yao Yu Di Wu Yitong Hao
Department of Marine Engineering Shanghai Maritime University Shanghai, China Department of Marine Engineering Shanghai Maritime University Shanghai,China
国际会议
2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)
南昌
英文
146-149
2010-09-17(万方平台首次上网日期,不代表论文的发表时间)