Fault Diagnosis of Valve Train of Internal Combustion Engine based on the Artificial Neural Network and Support Vector Machine

被引：1
作者：
Bi Fengrong [1 ]
Song Zhen [1 ]
机构：
[1] Tianjin Univ, Coll Mech Engn, Tianjin 300072, Peoples R China
来源：
ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3 | 2013年 / 605-607卷
关键词：
valve train; artificial neural network; support vector machine; fault diagnosis;
D O I：
10.4028/www.scientific.net/AMR.605-607.729
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The theory of artificial neural network and support vector machine has been introduced. According to the characteristics of vibration signal for the valve mechanism, fault diagnosis has been proposed for abnormal valve clearance based on artificial neural network (ANN) and support vector machine (SVM). Two kinds of intelligent technology have been compared in fault identification by changing the number of training samples. The diagnosis has indicated that at small number of training samples SVM has high generalization ability, and at large number of training samples, ANN has exact recognition when it comes to diagnosing valve train.
引用
收藏
页码：729 / 733
页数：5
相关论文
共 50 条
  • [21] Intelligent fault diagnosis based on support vector machine
    Xia Fangfang
    Yuan Long
    Zhao Xiucai
    He Wenan
    Jia Ruisheng
    [J]. PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 1, 2015, : 201 - 205
  • [22] Transformer Fault Diagnosis Based on Support Vector Machine
    Zhang, Yan
    Zhang, Bide
    Yuan, Yuchun
    Pei, Zichun
    Wang, Yan
    [J]. PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, : 405 - 408
  • [23] Wavelet packet and support vector machine for engine fault diagnosis
    Li, Li
    Li, Ji
    Chen, Baojia
    [J]. FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY, PTS 1-3, 2011, 230-232 : 1 - 6
  • [24] Fault Diagnosis for Wireless Sensor Network Based on Genetic-Support Vector Machine
    Zhi, Wang
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 2691 - 2694
  • [25] Bidirectional Recurrent Neural Network based on Multi-Kernel Learning Support Vector Machine for Transformer Fault Diagnosis
    Zhao, Xun
    Chen, Shuai
    Gao, Ke
    Luo, Lin
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (01) : 125 - 135
  • [26] Research on Fault Diagnosis of Surge Arresters Based on Support Vector Recurrent Neural Network
    Jin, Ying
    Zhang, Xiaodong
    Qiu, Lingfeng
    Ding, Yong
    Luo, Yamei
    Zhang, Zhijun
    Han, Yongxia
    Zhang, Jiantao
    Yang, Lin
    [J]. ADVANCES IN NEURAL NETWORKS-ISNN 2024, 2024, 14827 : 515 - 525
  • [27] Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network
    Roy, Sanjiban Sekhar
    Sinha, Abhishek
    Roy, Reetika
    Barna, Cornel
    Samui, Pijush
    [J]. SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 2, 2018, 634 : 162 - 174
  • [28] Fault-Diagnosis Method Based on Support Vector Machine and Artificial Immune for Batch Process
    马立玲
    张瞾
    王军政
    [J]. JournalofBeijingInstituteofTechnology, 2010, 19 (03) : 337 - 342
  • [29] Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm
    Yang Dalian
    Liu Yilun
    Li Songbai
    Li Xuejun
    Ma Liyong
    [J]. MECHANISM AND MACHINE THEORY, 2015, 90 : 219 - 229
  • [30] Significance Support Vector Machine for High-Speed Train Bearing Fault Diagnosis
    Sun, Bing
    Liu, Xiaofeng
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (05) : 4638 - 4646
12345