• DocumentCode
    2024273
  • Title

    Fault diagnosis modeling of rotating speed sway for avion engine based on Fuzzy Neural Network

  • Author

    Qu, Dongcai ; Feng, Yuguang ; Liu, Lingshun ; Zhang, Ruizhi

  • Author_Institution
    Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1234
  • Lastpage
    1237
  • Abstract
    Owing to human´s experiences being rarely applied in the traditional fault diagnosis procedure, a kind of fault diagnosis model of rotating speed sway is established based on Fuzzy Neural Network (FNN) for avion engine. The fault diagnosis model can simulate expert´s fault diagnosis procedure, and improve fault diagnosis performance of rotating speed sway for avion engine. The simulation results show that fault diagnosis model can absorb human´s experiences, and make accurate judgments, the trained FNN has the same performance, and has solve self-learning problem.
  • Keywords
    aerospace engines; avionics; fault diagnosis; fuzzy neural nets; matrix algebra; mechanical engineering computing; avion engine; fault diagnosis modeling; fuzzy neural network; rotating speed sway; self-learning problem; Circuit faults; Compounds; Engines; Fault diagnosis; Fuzzy control; Fuzzy neural networks; Velocity control; Fault Diagnosis; Fuzzy Algorithms; Neural Network; Rotating Speed Sway; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569130
  • Filename
    5569130