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Author

Peyman Poozesh

Bio: Peyman Poozesh is an academic researcher from University of Massachusetts Lowell. The author has contributed to research in topics: Turbine blade & Structural health monitoring. The author has an hindex of 13, co-authored 27 publications receiving 781 citations. Previous affiliations of Peyman Poozesh include Kettering University & Iran University of Science and Technology.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the most current trends in the photogrammetry technique (point tracking, digital image correlation, and target-less approaches) are reviewed and compared to other measurement techniques used in structural dynamics (e.g., laser Doppler vibrometry and interferometry).

365 citations

Journal ArticleDOI
TL;DR: The subtle motions from recorded video are extracted by means of Phase-based Motion Estimation (PME) and the extracted information is used to conduct damage identification on a 2.3-m long Skystream® wind turbine blade (WTB).

163 citations

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TL;DR: In this article, the performance of conventional 3D DIC and 3D point tracking (3DPT) approaches over the surface of wind turbine blades was evaluated using dynamic spatial data stitching.

122 citations

Journal ArticleDOI
TL;DR: In this paper, a phase-based motion estimation method using complex steerable pyramids is proposed to decompose the original sequence of images to amplitude and phase at different spatial resolutions (subsampled images). Motion information is conserved within the phase values which can be filtered in the time domain and amplified to detect the subtle motions.

101 citations

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TL;DR: In this paper, a non-contacting measurement technique based on acoustic monitoring is proposed to detect cracks or damage within a structure by observing sound radiation using a single microphone or a b...
Abstract: This article proposes a non-contacting measurement technique based on acoustic monitoring to detect cracks or damage within a structure by observing sound radiation using a single microphone or a b...

43 citations


Cited by
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Journal ArticleDOI
TL;DR: This review paper is intended to summarize the collective experience that the research community has gained from the recent development and validation of the vision-based sensors for structural dynamic response measurement and SHM.

374 citations

Journal ArticleDOI
TL;DR: In this paper, the most current trends in the photogrammetry technique (point tracking, digital image correlation, and target-less approaches) are reviewed and compared to other measurement techniques used in structural dynamics (e.g., laser Doppler vibrometry and interferometry).

365 citations

Journal ArticleDOI
TL;DR: The state‐of‐the‐art methods have been presented by conducting a detailed literature review of the recent applications of smartphones, UAVs, cameras, and robotic sensors used in acquiring and analyzing the vibration data for structural condition monitoring and maintenance.

301 citations

Journal ArticleDOI
TL;DR: A general overview of the concepts, approaches, and real-life practice of computer vision–structural health monitoring along with some relevant literature that is rapidly accumulating is presented.
Abstract: Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to t...

248 citations

Journal ArticleDOI
TL;DR: In this article, the results of laboratory experiments on simply-supported beam structures demonstrate the high accuracy of the vision sensor for dense full-field displacement measurements, and the identified natural frequencies and mode shapes from measurements by using one camera match well with those from an array of accelerometers.

222 citations