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

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Advances in Case-Based Reasoning (EWCBR 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1168))

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Abstract

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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References

  1. Althoff, K.-D., Auriol, E., Barletta, R. & Manago, M.A Review of Industrial Case-Based Reasoning Tools. A. Goodall (Ed.), AI Intelligence, Oxford, 1995.

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Authors and Affiliations

  1. Commercial Product Support, CFM international, BP 1936, 77019, Melun Cedex, France

    Richard Heider

Authors
  1. Richard Heider
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Ian Smith Boi Faltings

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© 1996 Springer-Verlag Berlin Heidelberg

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Heider, R. (1996). Troubleshooting CFM 56-3 engines for the Boeing 737 using CBR and data-mining. In: Smith, I., Faltings, B. (eds) Advances in Case-Based Reasoning. EWCBR 1996. Lecture Notes in Computer Science, vol 1168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020634

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  • DOI: https://doi.org/10.1007/BFb0020634

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61955-0

  • Online ISBN: 978-3-540-49568-0

  • eBook Packages: Springer Book Archive

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