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A Novel Real Time Diagnostic Method for Crack Detection on a Rotating Shaft

[+] Author Affiliations
Fernando A. Bejarano, Amilcar A. Rincon, Yamil Camacho, Xaymara Perereira

Inter American University of Puerto Rico, Bayamón, Puerto Rico

Paper No. DETC2009-86571, pp. 51-56; 6 pages
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 22nd Biennial Conference on Mechanical Vibration and Noise, Parts A and B
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4898-2 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME


This paper presents a novel real-time crack identification method to determine the position and depth of a transverse open crack on a rotating shaft. Wireless accelerometer capable of being mounted directly on the shaft is employed to monitor acceleration at different points of the shaft in a rotating coordinate system. The vibration parameters obtained from the wireless sensors and Finite Element Model provide operational data to perform Modal Analysis with different mock crack positions and depths, and an unique relation between the vibration parameters and crack characteristics is developed by Neural Networks Method working as function approximator to predict the crack size and location on the shaft. The method was experimentally validated and results have shown that the crack detection sensitivity parameters depend on the acceleration signals at different points of the shaft.

Copyright © 2009 by ASME
Topics: Crack detection



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