• DocumentCode
    2347817
  • Title

    Dynamic model of FCCU and its application in a hybrid fault diagnosis system

  • Author

    Du, Dianlin ; Luo, Xionglin ; Wu, Chongguang

  • Author_Institution
    Inf. Sci. & Tech. Coll., Beijing Univ. of Chem. Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    26-29 June 2005
  • Firstpage
    1014
  • Abstract
    The dynamic model of fluid catalytic cracking unit (FCCU) based on first principle analysis was discussed and built. It was simplified by spatial discretization to be applied in the simulation system to meet the real time requirement. Dynamic simulation is a key technique in safety science and safety engineering field which can be used for process hazard assessment, hazard identification, safety control system design and operating personnel training. Based on dynamic model and simulation, we proposed a new structure of a hybrid fault diagnosis system of FCCU which integrates signed directed graph (SDG), artificial neural network (ANN) together with dynamic simulation. Dynamic model and simulation are the foundation and play very important roles in this hybrid fault diagnosis system.
  • Keywords
    fault diagnosis; neural nets; oil refining; petroleum industry; production engineering computing; safety; artificial neural network; dynamic model; dynamic simulation; first principle analysis; fluid catalytic cracking unit; hazard identification; hybrid fault diagnosis system; personnel training operation; process hazard assessment; safety control system design; signed directed graph; spatial discretization; Artificial neural networks; Control system synthesis; Design engineering; Fault diagnosis; Fluid dynamics; Hazards; Personnel; Railway safety; Real time systems; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2005. ICCA '05. International Conference on
  • Print_ISBN
    0-7803-9137-3
  • Type

    conf

  • DOI
    10.1109/ICCA.2005.1528270
  • Filename
    1528270