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Efficient Full-Field Operational Modal Analysis Using Neuromorphic Event-Based Imaging

Dorn, Charles and Dasari, Sudeep and Yang, Yongchao and Kenyon, Garrett and Welch, Paul and Mascareñas, David (2017) Efficient Full-Field Operational Modal Analysis Using Neuromorphic Event-Based Imaging. In: Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics. Conference Proceedings of the Society for Experimental Mechanics Series. Vol.9. Springer , Cham, pp. 97-103. ISBN 978-3-319-54735-0. https://resolver.caltech.edu/CaltechAUTHORS:20170711-103337420

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Abstract

As an alternative to traditional sensing methods, video camera measurements offer a non-contact, cost-efficient, and full-field platform for operational modal analysis. However, video cameras record large amounts of redundant background data causing video processing to be computationally inefficient. This work explores the use of a silicon retina imager to perform operational modal analysis. The silicon retina provides an efficient alternative to standard frame-based video cameras. Modeling the biological retina, each silicon retina pixel independently and asynchronously records changes in intensity. By only recording intensity change events, all motion information is captured without recording redundant background information. This asynchronous event-based data representation allows motion to be captured on the microsecond scale, equivalent to traditional cameras operating at thousands of frames per second. With minimal data storage and processing requirements, the silicon retina shows promise for real-time vibration measurement and structural control applications. This study takes the first step toward these applications by adapting existing video frame-based modal analysis techniques to operate on event-based silicon retina measurements. Specifically, blind source separation and video motion processing techniques are used to automatically output vibration parameters from silicon retina data. The developed method is demonstrated on a cantilever beam.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://dx.doi.org/10.1007/978-3-319-54735-0_11DOIArticle
https://link.springer.com/chapter/10.1007%2F978-3-319-54735-0_11PublisherArticle
Additional Information:© 2017 The Society for Experimental Mechanics, Inc. First Online: 18 April 2017.
Subject Keywords:Operational modal analysis; Video processing; Blind source separation; Silicon retina; Event-based sampling
Series Name:Conference Proceedings of the Society for Experimental Mechanics Series
Record Number:CaltechAUTHORS:20170711-103337420
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170711-103337420
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78938
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:11 Jul 2017 21:53
Last Modified:03 Oct 2019 18:14

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