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Microsystem Technologies

, Volume 20, Issue 8–9, pp 1733–1737 | Cite as

Intelligent diagnosis of bolting systems under uncertain/dynamic impact

  • G. Chen
  • L. Huang
  • L. B. Chen
  • J.-Y. Chang
Technical Paper

Abstract

This paper proposes a method to diagnose bolting systems from the acceleration response signals generated from a dynamic impact testing and simulation. It shows that the spectrum and response level have the unique features corresponding to the specific states of the bolting system which can be used to train an artificial neural network for automatic diagnosis.

Keywords

Artificial Neural Network Empirical Mode Decomposition Stiffness Parameter Concrete Body Dynamic Impact Testing 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.College of IT and EngineeringMarshall UniversityHuntingtonUSA
  2. 2.Auckland University of TechnologyAucklandNew Zealand
  3. 3.University of Alaska, FairbanksFairbanksUSA
  4. 4.National Tsing Hua UniversityHsinchuTaiwan

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