Fault diagnosis of diesel engine based on empirical mode decomposition and support vector machine

被引：0
作者：
Shen, Zhixi [1 ]
Huang, Xiyue [1 ]
Ma, Xiaoxiao [2 ]
机构：
[1] College of Automation, Chongqing University, Chongqing 400030, China
[2] New Zealand Commtest Instruments Ltd., Beijing 100016, China
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2010年 / 30卷 / 01期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：19 / 22
相关论文
共 50 条
[41]   Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification [J].
Demir, Begum ;
Erturk, Sarp .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (11) :4071-4084
[42]   Method of machinery fault diagnosis based on wavelet packet decomposition and support vector machine [J].
He, Xuewen ;
Bu, Yingyong .
Jixie Qiandu/Journal of Mechanical Strength, 2004, 26 (01)
[43]   Enhancing the Ability of Ensemble Empirical Mode Decomposition in Machine Fault Diagnosis [J].
Guo, Wei ;
Tse, Peter W. .
2010 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE, 2010, :301-307
[44]   Diesel engine fault diagnosis using intrinsic time-scale decomposition and multistage Adaboost relevance vector machine [J].
Liu, Yu ;
Zhang, Junhong ;
Qin, Kongjian ;
Xu, Yueyun .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2018, 232 (05) :881-894
[45]   Fault diagnosis based on support vector machine ensemble [J].
Li, Y ;
Cai, YZ ;
Yin, RP ;
Xu, XM .
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, :3309-3314
[46]   Intelligent fault diagnosis based on support vector machine [J].
Xia Fangfang ;
Yuan Long ;
Zhao Xiucai ;
He Wenan ;
Jia Ruisheng .
PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 1, 2015, :201-205
[47]   Transformer Fault Diagnosis Based on Support Vector Machine [J].
Zhang, Yan ;
Zhang, Bide ;
Yuan, Yuchun ;
Pei, Zichun ;
Wang, Yan .
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, :405-408
[48]   Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines [J].
Zhang, Xiaoyuan ;
Zhou, Jianzhong .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 41 (1-2) :127-140
[49]   Empirical mode decomposition based on support vector regression machines [J].
College of Computer Science and Technology, Harbin Engineering University, Harbin 15001, China .
Harbin Gongcheng Daxue Xuebao, 2007, 7 (779-784) :779-784
[50]   Research on Diagnosis of AC Engine Wear Fault Based on Support Vector Machine and Information Fusion [J].
Zhang, Lei ;
Dong, Yanfei .
JOURNAL OF COMPUTERS, 2012, 7 (09) :2292-2297
12345