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Journal of Applied Mathematics
Volume 2014, Article ID 732104, 9 pages
Research Article

Fault Detection and Diagnosis in Process Data Using Support Vector Machines

1Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Heilongjiang 150001, China
2Department of Engineering, Faculty of Engineering and Science, The University of Agder, 4898 Grimstad, Norway

Received 15 January 2014; Accepted 27 January 2014; Published 2 March 2014

Academic Editor: Weichao Sun

Copyright © 2014 Fang Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Christian Kühnert, and Jürgen Beyerer, “Data-Driven Methods for the Detection of Causal Structures in Process Technology,” Machines, vol. 2, no. 4, pp. 255–274, 2014. View at Publisher · View at Google Scholar
  • Xianfeng Yuan, Mumin Song, Fengyu Zhou, Zhumin Chen, and Yan Li, “A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System,” Computational Intelligence and Neuroscience, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Hongzhi Hu, Shulin Tian, and Qing Guo, “Fault Modeling and Testing for Analog Circuits in Complex Space Based on Supply Current and Output Voltage,” Journal of Applied Mathematics, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
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  • Xiaodong Jiang, Haitao Zhao, and Henry Leung, “Fault Detection and Diagnosis in Chemical Processes Using Sparse Principal Component Selection,” Journal Of Chemical Engineering Of Japan, vol. 50, no. 1, pp. 31–44, 2017. View at Publisher · View at Google Scholar
  • Haobin Shi, Zhiqiang Lin, Kao-Shing Hwang, Shike Yang, and Jialin Chen, “An Adaptive Strategy Selection Method With Reinforcement Learning for Robotic Soccer Games,” IEEE Access, vol. 6, pp. 8376–8386, 2018. View at Publisher · View at Google Scholar