Micro-vibration detection with heterodyne holography based on time-averaged method

XiaoDong Qin; Feng Pan; ZongHui Chen; XueQin Hou; Wen Xiao

doi:10.1117/12.2266922

10 February 2017 Micro-vibration detection with heterodyne holography based on time-averaged method

XiaoDong Qin, Feng Pan, ZongHui Chen, XueQin Hou, Wen Xiao

Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 1025032 (2017) https://doi.org/10.1117/12.2266922
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China

Abstract

We propose a micro-vibration detection method by introducing heterodyne interferometry to time-averaged holography. This method compensates for the deficiency of time-average holography in quantitative measurements and widens its range of application effectively. Acousto-optic modulators are used to modulate the frequencies of the reference beam and the object beam. Accurate detection of the maximum amplitude of each point in the vibration plane is performed by altering the frequency difference of both beams. The range of amplitude detection of plane vibration is extended. In the stable vibration mode, the distribution of the maximum amplitude of each point is measured and the fitted curves are plotted. Hence the plane vibration mode of the object is demonstrated intuitively and detected quantitatively. We analyzed the method in theory and built an experimental system with a sine signal as the excitation source and a typical piezoelectric ceramic plate as the target. The experimental results indicate that, within a certain error range, the detected vibration mode agrees with the intrinsic vibration characteristics of the object, thus proving the validity of this method.

Citation Download Citation

XiaoDong Qin, Feng Pan, ZongHui Chen, XueQin Hou, and Wen Xiao "Micro-vibration detection with heterodyne holography based on time-averaged method", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 1025032 (10 February 2017); https://doi.org/10.1117/12.2266922

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