Multiagent Realization of Prediction-Based Diagnosis and Loss Prevention

  • Rozália Lakner
  • Erzsébet Németh
  • Katalin M. Hangos
  • Ian T. Cameron
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


A multiagent diagnostic system implemented in a Protégé-JADE-JESS environment interfaced with a dynamic simulator and database services is described in this paper. The proposed system architecture enables the use of a combination of diagnostic methods from heterogeneous knowledge sources. The process ontology and the process agents are designed based on the structure of the process system, while the diagnostic agents implement the applied diagnostic methods. A specific completeness coordinator agent is implemented to coordinate the diagnostic agents based on different methods. The system is demonstrated on a case study for diagnosis of faults in a granulation process based on HAZOP and FMEA analysis.


Fault Detection Multiagent System Diagnostic Agent Loss Prevention Fault Tree Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rozália Lakner
    • 1
  • Erzsébet Németh
    • 1
    • 2
  • Katalin M. Hangos
    • 2
  • Ian T. Cameron
    • 3
  1. 1.Department of Computer ScienceUniversity of VeszprémVeszprémHungary
  2. 2.Systems and Control Laboratory, Computer and Automation Research InstituteBudapestHungary
  3. 3.School of EngineeringThe University of QueenslandBrisbaneAustralia

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