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

Dorn, Charles; Dasari, Sudeep; Yang, Yongchao; Farrar, Charles; Kenyon, Garrett; Welch, Paul; Mascareñas, David

doi:10.1061/(ASCE)EM.1943-7889.0001449

Title: Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging

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Abstract

Traditional vibration measurement typically requires physically attached sensors, such as accelerometers and strain gauges. However, these discrete-point sensors provide only low spatial resolution vibration measurements, potentially foregoing valuable structural information such as localized damage. Noncontact optical measurement methods such as laser vibrometers can achieve high spatial resolution vibration measurements but only through time-consuming sequential measurements and are not cost-effective. As an alternative to traditional vibration measurement methods, digital video cameras are relatively low-cost, agile, and offer noncontact, simultaneous high spatial resolution measurements where every pixel on the structure becomes a measurement point. However, regular digital video cameras are frame-based where each pixel simultaneously performs temporally uniform (synchronous) measurements containing large amounts of redundant (background) data, which consumes considerable resources for video data measurement, management, and processing. To alleviate such a challenge, this work explores the use of event-based neuromorphic imagers, specifically silicon retinas, an efficient alternative to traditional frame-based video cameras, to perform full-field vibration measurements and operational modal analysis. By imitating biological vision, each silicon retina pixel independently and asynchronously records only intensity change events that contain structural motion information while excluding redundant (background) information. Such an asynchronous event-based data measurement mechanism allows for structural motion to be capturedmore »« less

Authors:

Dorn, Charles ^[1]; Dasari, Sudeep ^[2];

^[3]; Farrar, Charles ^[3]; Kenyon, Garrett ^[3]; Welch, Paul ^[3]; Mascareñas, David ^[3]

California Inst. of Technology (CalTech), Pasadena, CA (United States)
Univ. of California, Berkeley, CA (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: Sun Jul 01 00:00:00 EDT 2018

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:: 1487358

Report Number(s):: LA-UR-17-20506
Journal ID: ISSN 0733-9399

Grant/Contract Number:: 89233218CNA000001

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Engineering Mechanics

Additional Journal Information:: Journal Volume: 144; Journal Issue: 7; Journal ID: ISSN 0733-9399

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING

Citation Formats


                    Dorn, Charles, Dasari, Sudeep, Yang, Yongchao, Farrar, Charles, Kenyon, Garrett, Welch, Paul, and Mascareñas, David. Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging.  United States: N. p., 2018. 
Web.  doi:10.1061/(ASCE)EM.1943-7889.0001449.

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                    Dorn, Charles, Dasari, Sudeep, Yang, Yongchao, Farrar, Charles, Kenyon, Garrett, Welch, Paul, & Mascareñas, David. Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging.  United States.  https://doi.org/10.1061/(ASCE)EM.1943-7889.0001449

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                    Dorn, Charles, Dasari, Sudeep, Yang, Yongchao, Farrar, Charles, Kenyon, Garrett, Welch, Paul, and Mascareñas, David. Sun .  
"Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging".  United States.  https://doi.org/10.1061/(ASCE)EM.1943-7889.0001449.  https://www.osti.gov/servlets/purl/1487358.

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@article{osti_1487358,

  title        = {Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging},

  author       = {Dorn, Charles and Dasari, Sudeep and Yang, Yongchao and Farrar, Charles and Kenyon, Garrett and Welch, Paul and Mascareñas, David},

  abstractNote = {Traditional vibration measurement typically requires physically attached sensors, such as accelerometers and strain gauges. However, these discrete-point sensors provide only low spatial resolution vibration measurements, potentially foregoing valuable structural information such as localized damage. Noncontact optical measurement methods such as laser vibrometers can achieve high spatial resolution vibration measurements but only through time-consuming sequential measurements and are not cost-effective. As an alternative to traditional vibration measurement methods, digital video cameras are relatively low-cost, agile, and offer noncontact, simultaneous high spatial resolution measurements where every pixel on the structure becomes a measurement point. However, regular digital video cameras are frame-based where each pixel simultaneously performs temporally uniform (synchronous) measurements containing large amounts of redundant (background) data, which consumes considerable resources for video data measurement, management, and processing. To alleviate such a challenge, this work explores the use of event-based neuromorphic imagers, specifically silicon retinas, an efficient alternative to traditional frame-based video cameras, to perform full-field vibration measurements and operational modal analysis. By imitating biological vision, each silicon retina pixel independently and asynchronously records only intensity change events that contain structural motion information while excluding redundant (background) information. Such an asynchronous event-based data measurement mechanism allows for structural motion to be captured on the microsecond scale in an extremely data-efficient manner, which could benefit real-time vibration measurement and control applications. This study takes the first step toward these applications by formulating an existing video frame-based full-field operational modal analysis technique in the event-based, asynchronous silicon retina measurement framework. Specifically, local phase-based motion extraction and blind source separation are used to automatically and efficiently extract full-field vibration and dynamics parameters from silicon retina measurements. The developed method is validated by laboratory experiments on a bench-scale cantilever beam.},

  doi          = {10.1061/(ASCE)EM.1943-7889.0001449},

  journal      = {Journal of Engineering Mechanics},

  number       = 7,

  volume       = 144,

  place        = {United States},

  year         = {Sun Jul 01 00:00:00 EDT 2018},

  month        = {Sun Jul 01 00:00:00 EDT 2018}

}

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