CRACK IDENTIFICATION OF A ROTATING SHAFT WITH INTEGRATED WIRELESS SENSOR

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

11
Reader(s)
17
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 2 , ISSUE 4 (December 2009) > List of articles

CRACK IDENTIFICATION OF A ROTATING SHAFT WITH INTEGRATED WIRELESS SENSOR

F. Andrés Bejarano / Yi Jia / Frederick Just

Keywords : rack detection, wireless sensor, vibration modal analysis, finite element method, neural Networks, rotating shaft.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 2, Issue 4, Pages 564-578, DOI: https://doi.org/10.21307/ijssis-2017-368

License : (CC BY-NC-ND 4.0)

Published Online: 03-November-2017

ARTICLE

ABSTRACT

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. A newly developed wireless sensor 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.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] Y. Narkis, “Identification of Crack Location in Vibrating Simply Supported Beams’’, Journal of Sound and Vibration, 172(4), pp.549-558, 1994.
[2] K. Bikri, R. Benamar and M.M Bennouna., “Geometrically non-linear free vibrations of clamped-clamped beams with an edge crack’’, Elservier, Computers and Structures 84, pp. 485-502, 2006.
[3] G.M. Owolabi., A.S.J Swamidas and R. Seshadri, “Crack Detection in Beams Using Changes in Frequencies and Amplitudes of Frequency Response Functions’’, Journal of Sound and Vibration, 263 ,pp1-22,2003.
[4] Y. Fan and. J. Li, “Nonlinear System Identification Using Lumped Parameter Models With Embedded Feedforward Neural Networks”, Rensselaer Polytechnic Institute, 2000.
[5] H. Demuth, M. Hagan and M. Beale, “Neural Network Design”, Thompson Learning, Inc., 1996.
[6] M. Feldman & S. Seibold, “Damage Diagnosis of Rotors: Application of Hilbert Transform and Multi-Hypotesis Testing”, Israel Institute of Technology, 1998.
[7] D. J. Inman., “Engineering Vibration”, second edition, Prentice-Hall Inc., 2001.
[8] MATLAB Version 7.1.0.246 Release 14, Neural Network Toolbox, the Mathworks Inc., August 02, 2005.
[9] M. Paz, “Structural Dynamics Theory and Computation’’, Van Nostrand Reinhold, Third Edition, 626 pages, 1991.
[10] Adewusi Surajudeen Adedotun, “ Detection of a Transverse Crack in a Rotating Shaft Using Wavelet Transform”, Thesis of Master of Science in Mechanical Engineering, King Fahd University of Petroleum & Minerals, 233 pages, May 2000.
[11] Analog Devices, Inc, ADXL202E Catalog, at http://www.analog.com,2000.
[12] Bachschmid N., Pennacchi P., Tanzi E. and Vania A., “Identification of Transverse Crack Position and Depth in Rotor Systems”, Meccanica, vol 35, pp. 563-582, 2000.
[13] Ewins D.J., “ Modal Testing Theory and Practice” , Research Studies Press Ltd, 269 pages, 1984.
[14] Grabowski B., “The Vibrational Behavior of a Turbine Rotor Containing a Transverse Crack", Transactions of the ASME, vol. 102, Jan. 1980.
[15] Haberman Richard ‘’Elementary Applied Partial Differential Equations’’ whit Fourier Series and Boundary Value Problems, second edition by Prentice –Hall, 1987.
[16] Maharbiz Michael, “Introduction to MEMS – EECS 414 lectures”, Center for Wireless Integrated MicroSystems, University of Michigan, September 2005.
[17] McKee Kristoffer K., “Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling”, Thesis of Doctor of Philosophy in Mechanical Engineering, Rensselaer Polytechnic Institute, Troy, New York, 191 pages, November 2002.
[18] Sekhar A.S., “Identification of a Crack in a Rotor System Using a Model-based Wavelet Approach”, Technische Universitat Darmstadt, Institute fur Mechanik, 2001.
[19] Sinha Jyoti K., “Bi-spectrum for identifying crack and misalignment in shaft of a rotating machine’’, Smart Structures and Systems, Vol. 2, No. 1, pp. 47-60, 2006.
[20] Tsai T. C. And. Wang Y. Z, “Vibration Analysis and Diagnosis of a Cracked Shaft”, Journal of Sound and Vibration, vol.192, No.3, pp.607-620, 1996.
[21] Xiao Yingming B, “An Experimental Study of Crack Detection in a Rotating Shaft”, Thesis for Master Engineering, Memorial University of Newfoundland-Canada, 109 pages, July 1995.

EXTRA FILES

COMMENTS