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Fault Detection and Diagnosis Using Neural Network Design

  • Kok Kiong Tan
  • Sunan Huang
  • Tong Heng Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

In this work, a fault detection method is designed based on neural networks. The proposed method is that a neural network is built on-line for the normal mode, while other one is used to diagnose the faults. The simulation shows the effectiveness of the proposed method.

Keywords

Acoustic Emission Fault Detection Acoustic Emission Signal Error Dynamic Fault Function 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kok Kiong Tan
    • 1
  • Sunan Huang
    • 1
  • Tong Heng Lee
    • 1
  1. 1.National University of SingaporeSingapore

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