Image sequences and wavelets for vibration analysis: Part 1: Edge detection and extraction of natural frequencies

• Published in: Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Vol. 216; no. 9; pp. 885 - 900
• Main Authors: Patsias, S, Staszewski, W J, Tomlinson, G R
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.09.2002; Mechanical Engineering Publications; SAGE PUBLICATIONS, INC
• Subjects: Applied sciences; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Industrial metrology. Testing; Measurement and testing methods; Measurement methods and techniques in continuum mechanics of solids; Mechanical engineering. Machine design; Physics; Solid mechanics; Structural and continuum mechanics; Testing machines. Balancing; edge detection; optical measurements; dynamic testing; wavelets; Image processing; Vibration test; Calibration; Beam(mechanics); Dynamic test; Natural frequency; Optical measurement; Image analysis; Wavelet transformation; Image sequence; Edge detection; Structural analysis; Non contact measurement
• ISSN: 0954-4062; 2041-2983
• DOI: 10.1177/095440620221600903

Abstract The paper presents the application of the wavelet edge detection algorithm for structural vibration analysis based on image sequences. A number of different edge detection operators are briefly discussed and illustrated using a simple image example. The wavelet-based edge detection algorithm is then used to identify natural frequencies of a simple cantilever beam. The paper discusses a number of important issues that need to be confronted when using image sequences for vibration analysis. These include correspondence of image features from image to image and image calibration. The paper compares the natural frequencies obtained using such an approach and also another non-contact method and finds them in good agreement.