• DocumentCode
    2916026
  • Title

    Fault diagnosis and modeling of the liquids packaging process. A research based on Petri Nets

  • Author

    Martínez, Miguel Angel Trigos ; Moreno, Emilio Garcia

  • Author_Institution
    Dept. of Eng. Syst. & Autom., Polytech. Univ. of Valencia - UPV, Valencia
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1620
  • Lastpage
    1624
  • Abstract
    Searching for solutions to manufacture industries, which every day deal with problems of faults in their process, that generate economics and humans main losses, an algorithm to construct a Petri Nets based model and diagnoser to isolate and fault detection of discrete events systems is presented. This algorithm is developed in a real process of liquids packaging, where we can see that its implementation allows detecting individuals, simultaneous and dependents faults. The process to construct the model and diagnoser is systematic and useful, and it reduces the problems of combinational explosion, which is the main problem present in other investigations. This research has an excellent projection in intermittent faults diagnosis and hybrids systems.
  • Keywords
    Petri nets; discrete event systems; fault diagnosis; manufacturing industries; packaging; Petri nets; discrete events systems; fault detection; fault diagnosis; fault modeling; hybrids systems; intermittent faults diagnosis; liquids packaging process; manufacturing industries; Fault detection; Fault diagnosis; Humans; Industrial economics; Liquids; Manufacturing industries; Manufacturing processes; Packaging; Petri nets; Virtual manufacturing; Diagnoser; Discrete Event Systems; Faults Diagnosis; Liquids Packaging System; Petri Nets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795768
  • Filename
    4795768