Application of modal analysis supported by 3D vision-based measurements

In the paper, applications of the 3D vision techniques to the modal analysis method are presented. The goal of the project was to develop a methodology for vibration amplitude measurements and a software tool for modal analysis based on visual data. For this purpose, dedicated procedures and algorithms based on the vision technique methods were developed. 3D measurements of vibrations and structure geometry were obtained by application and developing passive 3D vision techniques. The amplitude of vibrations was calculated for selected points on the structure. Necessary vision data were received from the high-speed digital camera "X-Stream Vision" in form of "avi" files that were used as the input data for the developed software tool. The amplitude of vibration displacements obtained from vision-based measurements were treated as the input data for operational modal analysis algorithms. In this domain, the Balanced Realization algorithm has been used.

[1]  Daniel D. Morris,et al.  Factorization methods for structure from motion , 1998, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[2]  Johan Schoukens,et al.  Development of a data-reduction procedure with noise extraction for high-spatial-resolution optical measurements , 1998, Other Conferences.

[3]  Andrew K. Mitchell.  Optical modal analysis using white-light projected fringes , 2005 .

[4]  Fang Chen,et al.  High-speed ESPI and related techniques: overview and its application in the automotive industry , 2003 .

[5]  Andrew Zisserman,et al.  Multiple View Geometry , 1999 .

[6]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision: N-View Geometry , 2004 .

[7]  Bart Peeters,et al.  Experimental modal analysis using camera displacement measurements: a feasibility study , 2004, International Conference on Vibration Measurements by Laser Techniques: Advances and Applications.

[8]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[9]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[10]  Takeo Kanade,et al.  A Paraperspective Factorization Method for Shape and Motion Recovery , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  F. Santoyo,et al.  Modal vibration analysis of a metal plate by using a laser vibrometer and the POD method , 2005 .

[12]  Hans Steinbichler,et al.  Holographie Modal Analysis , 1996 .

[13]  Emanuele Trucco,et al.  Introductory techniques for 3-D computer vision , 1998 .

[14]  Ieee Xplore,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Janne Heikkilä,et al.  Geometric Camera Calibration Using Circular Control Points , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[17]  John Tyson,et al.  Full-field dynamic displacement and strain measurement—Specific examples using advanced 3D image correlation photogrammetry: Part II , 2003 .

[18]  Hans Steinbichler,et al.  Integration of Pulsed-Laser ESPI with Spatial Domain Modal Analysis , 2002 .

[19]  Stéphane Christy,et al.  Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Hans Steinbichler,et al.  Application of stroboscopic and pulsed-laser electronic speckle pattern interferometry (ESPI) to modal analysis problems , 2002 .

[21]  Mikael Sjödahl,et al.  A stereoscopic digital speckle photography system for 3-D displacement field measurements , 1999 .

[22]  John Tyson,et al.  Pull-field dynamic displacement and strain measurement using advanced 3D image correlation photogrammetry: Part 1 , 2003 .