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
[21]   Mechanical Fault Diagnosis for HV Circuit Breakers Based on Ensemble Empirical Mode Decomposition Energy Entropy and Support Vector Machine [J].
Zhang, Jianfeng ;
Liu, Mingliang ;
Wang, Keqi ;
Sun, Laijun .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
[22]   Vibration fault diagnosis of centrifugal pump based on empirical mode decomposition complexity feature and least square support vector machine [J].
Zhao, Peng ;
Zhou, Yun-Long ;
Sun, Bin .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2009, 29 (SUPPL. 1) :138-144
[23]   Rolling bearing fault diagnosis method using empirical mode decomposition and hypersphere multiclass support vector machine [J].
Kang, Shouqiang ;
Wang, Yujing ;
Yang, Guangxue ;
Song, Lixin ;
Mikulovich, V.I. .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2011, 31 (14) :96-102
[24]   DNPSO-based support vector machine for engine fault diagnosis [J].
Nie, Li-Xin ;
Zhang, Tian-Xia ;
Zhang, Li-Ping ;
Guo, Li-Xin .
Dongbei Daxue Xuebao/Journal of Northeastern University, 2012, 33 (04) :571-575
[25]   A New Engine Fault Diagnosis Model Based on Support Vector Machine [J].
Zhao, Lingling ;
Yang, Kuihe .
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, :5326-5329
[26]   A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine [J].
Lv, Zhongliang ;
Tang, Baoping ;
Zhou, Yi ;
Zhou, Chuande .
SHOCK AND VIBRATION, 2016, 2016
[27]   Hybrid diagnosis model of support vector machine based on fuzzy feature extraction with empirical mode decomposition [J].
Hu, Qiao ;
He, Zhengjia ;
Zhang, Zhousuo ;
Zi, Yanyang .
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2005, 39 (03) :290-294
[28]   Fault prediction of marine diesel engine based on time series and support vector machine [J].
Sun Tong ;
Chen Yanqiao ;
Zhou Yuan .
2020 INTERNATIONAL CONFERENCE ON INTELLIGENT DESIGN (ICID 2020), 2020, :75-81
[29]   Fault diagnosis of distributor of gas-solid fluidized bed using Empirical Mode Decomposition and Support Vector Machine [J].
Li Qiangwei ;
Ding Hao ;
Huang Zhiyao ;
Wang Baoliang ;
Li Haiqing .
7TH INTERNATIONAL CONFERENCE ON MEASUREMENT AND CONTROL OF GRANULAR MATERIALS, PROCEEDINGS, 2006, :145-147
[30]   DC Arc-Fault Detection Based on Empirical Mode Decomposition of Arc Signatures and Support Vector Machine [J].
Miao, Wenchao ;
Xu, Qi ;
Lam, K. H. ;
Pong, Philip W. T. ;
Poor, H. Vincent .
IEEE SENSORS JOURNAL, 2021, 21 (05) :7024-7033