Identification of Corrosion Damage Degree of Guided Wave Bend Pipe Based on Neural Network and Support Vector Machine

被引:0
|
作者
Zhou, Cheng [1 ]
Deng, Fei [1 ]
Liu, Yao [2 ]
Liu, Xiucheng [2 ]
Chen, Honglei [2 ]
Liu, Zenghua [2 ]
机构
[1] College of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai,200235, China
[2] College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing,100124, China
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2021年 / 57卷 / 12期
关键词
Guided electromagnetic wave propagation;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:136 / 144
相关论文
共 50 条
  • [1] Beam Structure Damage Identification Based on BP Neural Network and Support Vector Machine
    Yan, Bo
    Cui, Yao
    Zhang, Lin
    Zhang, Chao
    Yang, Yongzhi
    Bao, Zhenming
    Ning, Guobao
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [2] Damage degree identification of crane girder based on the support vector machine
    Li, Xiangdong
    Xi, Honghao
    Gu, Wenjie
    Zhou, Chao
    Gao, Tianyu
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 920 - 924
  • [3] LEAF IDENTIFICATION BASED ON BACK PROPAGATION NEURAL NETWORK AND SUPPORT VECTOR MACHINE
    Ankalaki, Shilpa
    Majumdar, Jharna
    2015 INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND INFORMATION PROCESSING (CCIP), 2015,
  • [4] IDENTIFICATION OF RAIL CRACK DEFECTS BASED ON SUPPORT VECTOR MACHINE AND ARTIFICIAL NEURAL NETWORK
    Li, Shu-qing
    Deng, Fei
    Zhou, Cheng
    Zhang, Xi-ran
    PROCEEDINGS OF THE 2020 15TH SYMPOSIUM ON PIEZOELECTRCITY, ACOUSTIC WAVES AND DEVICE APPLICATIONS (SPAWDA), 2021, : 404 - 408
  • [5] The static damage identification method based on the support vector machine
    Fu, Chunyu
    Shan, Deshan
    Li, Qiao
    Zhongguo Tiedao Kexue/China Railway Science, 2010, 31 (05): : 47 - 53
  • [6] Ultrasonic guided wave bolt preload identification based on the fusion of energy entropy and support vector machine
    Ding J.
    Wang H.
    Yuan B.
    Sun W.
    Sun Q.
    Ma Q.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (04): : 1001 - 1010
  • [7] Fault Identification of Internal Combustion Engine based on Support Vector Machine and Fuzzy Neural Network
    CHEN Decheng
    HE Xinyu
    InternationalJournalofPlantEngineeringandManagement, 2022, 27 (03) : 144 - 157
  • [8] Damage identification method based on fuzzy clustering and support vector machine
    Ran, Zhi-Hong
    Li, Qiao
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2007, 20 (06): : 618 - 622
  • [9] Structural Damage Identification Based on the Transmissibility Function and Support Vector Machine
    Diao, Yansong
    Men, Xue
    Sun, Zuofeng
    Guo, Kongzheng
    Wang, Yumei
    SHOCK AND VIBRATION, 2018, 2018
  • [10] Speaker identification using hybrid neural network support vector machine classifier
    Karthikeyan V.
    Priyadharsini S.S.
    Balamurugan K.
    Ramasamy M.
    International Journal of Speech Technology, 2022, 25 (4) : 1041 - 1053