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Advances in Acoustics and Vibration pp 1–11Cite as

Fault Diagnosis in Gas Turbine Based on Neural Networks: Vibrations Speed Application

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Part of the book series: Applied Condition Monitoring ((ACM,volume 5))

Abstract

The diagnosis of faults and failures in industrial systems is becoming increasingly essential. This work proposes the development of a fault diagnostics system based on artificial intelligence technique, using neural networks applied to a GE MS3002 gas turbine. This technique with its generalization and memory skills provides an effective diagnostic tool for the examined system.

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Author information

Authors and Affiliations

  1. Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa, 17000, Djelfa, DZ, Algeria

    Mohamed Ben Rahmoune & Ahmed Hafaifa

  2. Faculty of Science and Technology, University of Médéa, 26000, Médéa, DZ, Algeria

    Mouloud Guemana

Authors
  1. Mohamed Ben Rahmoune
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  2. Ahmed Hafaifa
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  3. Mouloud Guemana
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Corresponding author

Correspondence to Ahmed Hafaifa .

Editor information

Editors and Affiliations

  1. National School of Engineers of Sfax , Sfax, Tunisia

    Tahar Fakhfakh

  2. BP 1173, Natl School of Engineers of Sfax BP 1173, Sfax, Tunisia

    Fakher Chaari

  3. BP 1173, National School of Engineers of Sfax BP 1173, Sfax, Tunisia

    Lasaad Walha

  4. Route MenzelChaker Km 0,5, Preparatory Engineering Inst of Sfax Route MenzelChaker Km 0,5, Sfax, Tunisia

    Moez Abdennadher

  5. BP 1173, Natl Sch of Engineers of Sfax BP 1173, Sfax, Tunisia

    Mohamed Slim Abbes

  6. National Sch Engineers of Sfax , Sfax, Tunisia

    Mohamed Haddar

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Ben Rahmoune, M., Hafaifa, A., Guemana, M. (2017). Fault Diagnosis in Gas Turbine Based on Neural Networks: Vibrations Speed Application. In: Fakhfakh, T., Chaari, F., Walha, L., Abdennadher, M., Abbes, M., Haddar, M. (eds) Advances in Acoustics and Vibration. Applied Condition Monitoring, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-41459-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-41459-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41458-4

  • Online ISBN: 978-3-319-41459-1

  • eBook Packages: EngineeringEngineering (R0)

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