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Proceedings Paper

Robust modal curvature features for identifying multiple damage in beams
Author(s): Wiesław Ostachowicz; Wei Xu; Runbo Bai; Maciej Radzieński; Maosen Cao
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Paper Abstract

Curvature mode shape is an effective feature for damage detection in beams. However, it is susceptible to measurement noise, easily impairing its advantage of sensitivity to damage. To deal with this deficiency, this study formulates an improved curvature mode shape for multiple damage detection in beams based on integrating a wavelet transform (WT) and a Teager energy operator (TEO). The improved curvature mode shape, termed the WT - TEO curvature mode shape, has inherent capabilities of immunity to noise and sensitivity to damage. The proposed method is experimentally validated by identifying multiple cracks in cantilever steel beams with the mode shapes acquired using a scanning laser vibrometer. The results demonstrate that the improved curvature mode shape can identify multiple damage accurately and reliably, and it is fairly robust to measurement noise.

Paper Details

Date Published: 9 March 2014
PDF: 7 pages
Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90640P (9 March 2014); doi: 10.1117/12.2045316
Show Author Affiliations
Wiesław Ostachowicz, The Szewalski Institute of Fluid-Flow Machinery (Poland)
Warsaw Univ. of Technology (Poland)
Wei Xu, Hohai Univ. (China)
Runbo Bai, Shandong Agricultural Univ. (China)
Maciej Radzieński, The Szewalski Institute of Fluid-Flow Machinery (Poland)
Maosen Cao, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 9064:
Health Monitoring of Structural and Biological Systems 2014
Tribikram Kundu, Editor(s)

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