Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 47, Issue 1-2, Pages 78-93Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2013.06.010
Keywords
Automated online algorithm; Structural change detection; Hilbert-Huang transform; EMD; Energy-based frequency weighting
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A novel automated structural change detection algorithm is presented in this paper. The algorithm is principally based on a windowed Hilbert-Huang transform of online data, and incorporates a combination of energy based averaging and moving window averaging. The expected system behaviour is characterised during a dynamic parameterisation and training phase. A hierarchical alarm mechanism is employed to account for short and long term changes in the structural properties. The algorithm has been validated in an experimental setting with two different structures: a single degree of freedom (SDOF) discrete dynamical system and a 2.5 kW wind turbine blade. The system has been shown to reliably and promptly detect structural changes in both structures, one with a stiffness variation and the other with mass variation. (C) 2013 Elsevier Ltd. All rights reserved.
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