Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach

被引:0
|
作者
Lou, Siwei [1 ]
Yang, Chunjie [1 ]
Wu, Ping [2 ]
Kong, Liyuan [1 ]
Xu, Yonghong [1 ]
机构
[1] Zhejiang University, State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Hangzhou,310027, China
[2] Zhejiang Sci-Tech University, School of Information Science and Engineering, Hangzhou,310018, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Bearing Fault Diagnosis Based on Optimized Deep Hybrid Kernel Extreme Learning Machine
    Qi, Zhenyu
    Ma, Liling
    Wang, Junzheng
    Feng, Shanhao
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 3033 - 3038
  • [42] Blast Furnace Ironmaking Process Fault Detection Using Canonical Variate Analysis and Support Vector Data Description
    Wang, Xuemei
    Wu, Ping
    Pan, Haipeng
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 224 - 229
  • [43] A novel approach based on multi-class support vector machine of immune optimization for transformer fault diagnosis
    Han, Fu-Chun
    Gao, Wen-Jun
    Lian, Jian-Xin
    Yang, Jie
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (02): : 106 - 110
  • [44] Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column
    Taqvi, Syed Ali Ammar
    Zabiri, Haslinda
    Uddin, Fahim
    Naqvi, Muhammad
    Tufa, Lemma Dendena
    Kazmi, Majida
    Rubab, Saddaf
    Naqvi, Salman Raza
    Maulud, Abdulhalim Shah
    ENERGY SCIENCE & ENGINEERING, 2022, 10 (03) : 814 - 839
  • [45] Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation
    Zhou, Ping
    Lv, Youbin
    Wang, Hong
    Chai, Tianyou
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (09) : 7141 - 7151
  • [46] A novel knowledge enhanced graph neural networks for fault diagnosis with application to blast furnace process safety
    Han, Yinghua
    Li, Qing
    Wang, Chen
    Zhao, Qiang
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 166 : 143 - 157
  • [47] A new decision tree approach of support vector machine for analog circuit fault diagnosis
    Ma, Qingfeng
    He, Yuzhu
    Zhou, Fuqiang
    ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2016, 88 (03) : 455 - 463
  • [48] Fault diagnosis approach for rotor systems based on AR model and support vector machine
    Yu, De-Jie
    Chen, Miao-Feng
    Cheng, Jun-Sheng
    Yang, Yu
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2007, 27 (05): : 152 - 157
  • [49] Three Level Inverter Fault Diagnosis Using EMD and Support Vector Machine Approach
    Miao Beibei
    Shen Yanxia
    Wu Dinghui
    Zhao Zhipu
    PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1595 - 1598
  • [50] A new decision tree approach of support vector machine for analog circuit fault diagnosis
    Qingfeng Ma
    Yuzhu He
    Fuqiang Zhou
    Analog Integrated Circuits and Signal Processing, 2016, 88 : 455 - 463