Research on the fault classification based on support vector data description and drop reconstruction in batch process

被引:0
|
作者
Department of Science, Shenyang University of Chemical Technology, Shenyang [1 ]
Liaoning
110142, China
不详 [2 ]
Liaoning
110142, China
机构
来源
Kong Zhi Li Lun Yu Ying Yong | / 3卷 / 380-387期
关键词
Compendex;
D O I
10.7641/CTA.2015.40536
中图分类号
学科分类号
摘要
Spheres
引用
收藏
相关论文
共 50 条
  • [21] Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process
    Xue, Yangtao
    Zhang, Li
    Wang, Bangjun
    Tang, Baige
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT IV, 2018, 11304 : 522 - 531
  • [22] Fault-diagnosis method based on support vector machine and artificial immune for batch process
    Ma, Li-Ling
    Zhang, Zhao
    Wang, Jun-Zheng
    Journal of Beijing Institute of Technology (English Edition), 2010, 19 (03): : 337 - 342
  • [23] Fault-Diagnosis Method Based on Support Vector Machine and Artificial Immune for Batch Process
    马立玲
    张瞾
    王军政
    Journal of Beijing Institute of Technology, 2010, 19 (03) : 337 - 342
  • [24] A relaxed support vector data description algorithm based fault detection in distribution systems
    Chu, Fei
    Lu, Zhenlin
    Jin, Shuowei
    Liu, Xin
    Yu, Ziyang
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [25] Fault Condition Detection based on Wavelet Packet Transform and Support Vector Data Description
    Niu Qiang
    Xia Shi-Xiong
    Zhou Yong
    Zhang Lei
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL I, PROCEEDINGS, 2008, : 776 - 780
  • [26] Rolling bearing fault detection based on the hypersphere optimization support vector data description
    Lin T.
    Chen G.
    Teng C.
    Wang Y.
    Ouyang W.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (02): : 204 - 210and225
  • [27] Fault Detection for Internal Sensors of Mobile Robots Based on Support Vector Data Description
    Duan, Zhuohua
    Ma, Hui
    Yang, Liang
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 2748 - 2752
  • [28] Intelligent fault diagnosis based on empirical mode decomposition and support vector data description
    Li, Qiang
    Wang, Taiyong
    Wang, Zhengying
    Huang, Yi
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2008, 19 (22): : 2718 - 2721
  • [29] Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection
    Zhao, Yong-Ping
    Peng, Pei
    Chen, Yao-Bin
    Jin, Hui-Jie
    JOURNAL OF AEROSPACE ENGINEERING, 2024, 37 (03)
  • [30] Fault detection in operating helicopter drivetrain components based on support vector data description
    Camerini, V.
    Coppotelli, G.
    Bendisch, S.
    AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 73 : 48 - 60