Compressive sensing for direct time of flight estimation in ultrasound-based NDT

R. Fuentes; K. Worden; I. Antoniadou; C. Mineo; S.G. Pierce; E.J. Cross

Compressive sensing for direct time of flight estimation in ultrasound-based NDT

R. Fuentes, K. Worden, I. Antoniadou, C. Mineo, S.G. Pierce, E.J. Cross

Electronic And Electrical Engineering

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2 Citations (Scopus)

146 Downloads (Pure)

Abstract

This paper presents an approach for estimation of ultrasonic time-of-flight (TOF) within a Non Destructive Testing (NDT) and Structural Health Monitoring (SHM) context. The presented method leverages recent advances in the field of Compressive Sensing (CS), which makes use of sparsity in a transform domain of a signal in order to reduce the number of samples required to store it. For this, the ultrasound signals are considered to be sparse in their autocorrelation domain and a method is suggested for building suitable basis functions, based on Hankel matrices, which transform a signal into its autocorrelation domain. It is shown how this can be combined with standard CS techniques in order to achieve very low error in TOF estimates with up to one-tenth of the original ultrasound samples.

Original language	English
Number of pages	12
Publication status	Published - 12 Sept 2017
Event	11th International Workshop on Structural Health Monitoring - Stanford, United States Duration: 12 Sept 2017 → 14 Sept 2017 Conference number: 11 http://web.stanford.edu/group/sacl/workshop/IWSHM2017/

Conference

Conference	11th International Workshop on Structural Health Monitoring
Abbreviated title	IWSHM 2017
Country/Territory	United States
City	Stanford
Period	12/09/17 → 14/09/17
Internet address	http://web.stanford.edu/group/sacl/workshop/IWSHM2017/

Keywords

time-of-flight (TOF)
ultrasound pulses
non destructive testing
NDT
ultrasound signals

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title = "Compressive sensing for direct time of flight estimation in ultrasound-based NDT",

abstract = "This paper presents an approach for estimation of ultrasonic time-of-flight (TOF) within a Non Destructive Testing (NDT) and Structural Health Monitoring (SHM) context. The presented method leverages recent advances in the field of Compressive Sensing (CS), which makes use of sparsity in a transform domain of a signal in order to reduce the number of samples required to store it. For this, the ultrasound signals are considered to be sparse in their autocorrelation domain and a method is suggested for building suitable basis functions, based on Hankel matrices, which transform a signal into its autocorrelation domain. It is shown how this can be combined with standard CS techniques in order to achieve very low error in TOF estimates with up to one-tenth of the original ultrasound samples.",

keywords = "time-of-flight (TOF), ultrasound pulses, non destructive testing, NDT, ultrasound signals",

author = "R. Fuentes and K. Worden and I. Antoniadou and C. Mineo and S.G. Pierce and E.J. Cross",

year = "2017",

month = sep,

day = "12",

language = "English",

note = "11th International Workshop on Structural Health Monitoring, IWSHM 2017 ; Conference date: 12-09-2017 Through 14-09-2017",

url = "http://web.stanford.edu/group/sacl/workshop/IWSHM2017/",

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TY - CONF

T1 - Compressive sensing for direct time of flight estimation in ultrasound-based NDT

AU - Fuentes, R.

AU - Worden, K.

AU - Antoniadou, I.

AU - Mineo, C.

AU - Pierce, S.G.

AU - Cross, E.J.

N1 - Conference code: 11

PY - 2017/9/12

Y1 - 2017/9/12

N2 - This paper presents an approach for estimation of ultrasonic time-of-flight (TOF) within a Non Destructive Testing (NDT) and Structural Health Monitoring (SHM) context. The presented method leverages recent advances in the field of Compressive Sensing (CS), which makes use of sparsity in a transform domain of a signal in order to reduce the number of samples required to store it. For this, the ultrasound signals are considered to be sparse in their autocorrelation domain and a method is suggested for building suitable basis functions, based on Hankel matrices, which transform a signal into its autocorrelation domain. It is shown how this can be combined with standard CS techniques in order to achieve very low error in TOF estimates with up to one-tenth of the original ultrasound samples.

AB - This paper presents an approach for estimation of ultrasonic time-of-flight (TOF) within a Non Destructive Testing (NDT) and Structural Health Monitoring (SHM) context. The presented method leverages recent advances in the field of Compressive Sensing (CS), which makes use of sparsity in a transform domain of a signal in order to reduce the number of samples required to store it. For this, the ultrasound signals are considered to be sparse in their autocorrelation domain and a method is suggested for building suitable basis functions, based on Hankel matrices, which transform a signal into its autocorrelation domain. It is shown how this can be combined with standard CS techniques in order to achieve very low error in TOF estimates with up to one-tenth of the original ultrasound samples.

KW - time-of-flight (TOF)

KW - ultrasound pulses

KW - non destructive testing

KW - NDT

KW - ultrasound signals

M3 - Paper

T2 - 11th International Workshop on Structural Health Monitoring

Y2 - 12 September 2017 through 14 September 2017

ER -

Compressive sensing for direct time of flight estimation in ultrasound-based NDT

Abstract

Conference

Keywords

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