• DocumentCode
    3666865
  • Title

    Research on online trend omen extraction algorithm of sludge bulking

  • Author

    Yu Guang-ping;Wang Jing-yang;Yuan Ming-zhe;Yu Yang

  • Author_Institution
    Shenyang Institute of Automation. Guangzhou. Chinese, Academy of Science, Guangzhou, Guangdong Province, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1617
  • Lastpage
    1621
  • Abstract
    Sludge bulking is one of the most serious abnormal conditions in the sewage treatment process, which has important influence on the normal operation of sewage treatment plants. Achieving online trend omen extraction of sludge bulking is helpful to the prediction of sludge bulking, and plays an important role in the prevention of sludge bulking. Basing on the development of trend analysis technology, we improved the offline trend extraction method in order to make it better adapt to the online trend extraction. This method can effectively extract the trend information of process data with relatively low computational complexity, which can be applied on industrial online process and provide support for the trend information demand of expert system.
  • Keywords
    "Conferences","Automation","Control systems","Intelligent systems","Erbium"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288187
  • Filename
    7288187