Acoustic Emission (AE) source localization using Extended Kalman Filter (EKF)

Ehsan Dehghan Niri; Salvatore Salamone; Puneet Singla

doi:10.1117/12.914848

Acoustic Emission (AE) source localization using Extended Kalman Filter (EKF)

Ehsan Dehghan Niri, Salvatore Salamone, Puneet Singla

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

This paper presents a method for Acoustic Emission (AE) source localization in isotropic plate-like structures based on the Extended Kalman Filter (EKF). The accuracy of the traditional triangulation methods depends on the time of flight (TOF) measurements and on the group velocity assumption so uncertainties in both should be taken into account and filtered out. An algorithm based on the Extended Kalman Filter (EKF), capable of filtering out these uncertainties, has been developed for the estimation: 1) the AE source location and 2) the wave velocity. Experimental tests have been carried out on an aluminum plate to show accuracy and robustness of the proposed approach.

Original language	English (US)
Title of host publication	Health Monitoring of Structural and Biological Systems 2012
Volume	8348
DOIs	https://doi.org/10.1117/12.914848
State	Published - Jun 6 2012
Event	Health Monitoring of Structural and Biological Systems 2012 - San Diego, CA, United States Duration: Mar 12 2012 → Mar 15 2012

Other

Other	Health Monitoring of Structural and Biological Systems 2012
Country/Territory	United States
City	San Diego, CA
Period	3/12/12 → 3/15/12

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.914848

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title = "Acoustic Emission (AE) source localization using Extended Kalman Filter (EKF)",

abstract = "This paper presents a method for Acoustic Emission (AE) source localization in isotropic plate-like structures based on the Extended Kalman Filter (EKF). The accuracy of the traditional triangulation methods depends on the time of flight (TOF) measurements and on the group velocity assumption so uncertainties in both should be taken into account and filtered out. An algorithm based on the Extended Kalman Filter (EKF), capable of filtering out these uncertainties, has been developed for the estimation: 1) the AE source location and 2) the wave velocity. Experimental tests have been carried out on an aluminum plate to show accuracy and robustness of the proposed approach.",

author = "Niri, {Ehsan Dehghan} and Salvatore Salamone and Puneet Singla",

year = "2012",

month = jun,

day = "6",

doi = "10.1117/12.914848",

language = "English (US)",

isbn = "9780819490056",

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note = "Health Monitoring of Structural and Biological Systems 2012 ; Conference date: 12-03-2012 Through 15-03-2012",

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T1 - Acoustic Emission (AE) source localization using Extended Kalman Filter (EKF)

AU - Niri, Ehsan Dehghan

AU - Salamone, Salvatore

AU - Singla, Puneet

PY - 2012/6/6

Y1 - 2012/6/6

N2 - This paper presents a method for Acoustic Emission (AE) source localization in isotropic plate-like structures based on the Extended Kalman Filter (EKF). The accuracy of the traditional triangulation methods depends on the time of flight (TOF) measurements and on the group velocity assumption so uncertainties in both should be taken into account and filtered out. An algorithm based on the Extended Kalman Filter (EKF), capable of filtering out these uncertainties, has been developed for the estimation: 1) the AE source location and 2) the wave velocity. Experimental tests have been carried out on an aluminum plate to show accuracy and robustness of the proposed approach.

AB - This paper presents a method for Acoustic Emission (AE) source localization in isotropic plate-like structures based on the Extended Kalman Filter (EKF). The accuracy of the traditional triangulation methods depends on the time of flight (TOF) measurements and on the group velocity assumption so uncertainties in both should be taken into account and filtered out. An algorithm based on the Extended Kalman Filter (EKF), capable of filtering out these uncertainties, has been developed for the estimation: 1) the AE source location and 2) the wave velocity. Experimental tests have been carried out on an aluminum plate to show accuracy and robustness of the proposed approach.

UR - http://www.scopus.com/inward/record.url?scp=84861730610&partnerID=8YFLogxK

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U2 - 10.1117/12.914848

DO - 10.1117/12.914848

M3 - Conference contribution

AN - SCOPUS:84861730610

SN - 9780819490056

VL - 8348

BT - Health Monitoring of Structural and Biological Systems 2012

T2 - Health Monitoring of Structural and Biological Systems 2012

Y2 - 12 March 2012 through 15 March 2012

ER -

Acoustic Emission (AE) source localization using Extended Kalman Filter (EKF)

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