Troubleshooting CFM 56-3 engines for the Boeing 737 using CBR and data-mining

  • Richard Heider
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1168)


This paper describes the industrialisation of a software system to support fault diagnosis of the CFM 56 -3 aircraft engine. The system uses data-mining techniques known as induction and case based reasoning which exploit failure descriptions that are stored in a case base. A first prototype using the induction technique applied on an initial case base has been achieved. The paper presents the main characteristics of the CBR and induction techniques. The modelling of the engine failures and the process of feeding the case base are given next. The system is intended to be used by airline maintenance staff and CFMI specialists. A user friendly environment has been implemented to allow an optimum use of the system as a troubleshooting support.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Richard Heider
    • 1
  1. 1.Commercial Product SupportCFM internationalMelun CedexFrance

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