A feasability study on guided wave-based robotic mapping

Morteza Tabatabaeipour; Oksana  Trushkevych; Gordon Dobie; Rachel S. Edwards; Steven  Dixon; Charles MacLeod; Anthony Gachagan; S. Gareth Pierce

A feasability study on guided wave-based robotic mapping

Morteza Tabatabaeipour, Oksana Trushkevych, Gordon Dobie, Rachel S. Edwards, Steven Dixon, Charles MacLeod, Anthony Gachagan, S. Gareth Pierce

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

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Abstract

Ultrasonic guided wave imaging techniques have received much attention in recent years for fast screening of large structures. Here we explore the feasibility of Occupancy Grid Mapping (OGM) in order to construct a map of an unknown component for inspection. OGM is a well-established algorithm in robotics, but for the first time we are applying it to Shear Horizontal (SH) guided wave imaging. This approach, in contrast to some existing guided wave-based imaging techniques, would not require prior knowledge of an intact state of the sample. OGM works on the ranges obtained by the Time of Flight (ToF) of the received signals operating in pseudo-pulse-echo mode.

Original language	English
Number of pages	4
Publication status	Published - 6 Oct 2019
Event	2019 IEEE International Ultrasonics Symposium: IEEE UFFC - SECC, Glasgow, United Kingdom Duration: 6 Oct 2019 → 9 Oct 2019 https://attend.ieee.org/ius-2019/

Conference

Conference	2019 IEEE International Ultrasonics Symposium
Abbreviated title	IUS 2019
Country/Territory	United Kingdom
City	Glasgow
Period	6/10/19 → 9/10/19
Internet address	https://attend.ieee.org/ius-2019/

Keywords

ultrasonic inspection
SH guided waves
occupancy grid mapping
robotic mapping
EMAT

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Tabatabaeipour-etal-IEEE-IUS-2019-A-feasability-study-on-guided-wave-based-roboticAccepted author manuscript, 696 KB

Cite this

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title = "A feasability study on guided wave-based robotic mapping",

abstract = "Ultrasonic guided wave imaging techniques have received much attention in recent years for fast screening of large structures. Here we explore the feasibility of Occupancy Grid Mapping (OGM) in order to construct a map of an unknown component for inspection. OGM is a well-established algorithm in robotics, but for the first time we are applying it to Shear Horizontal (SH) guided wave imaging. This approach, in contrast to some existing guided wave-based imaging techniques, would not require prior knowledge of an intact state of the sample. OGM works on the ranges obtained by the Time of Flight (ToF) of the received signals operating in pseudo-pulse-echo mode. ",

keywords = "ultrasonic inspection, SH guided waves, occupancy grid mapping, robotic mapping, EMAT",

author = "Morteza Tabatabaeipour and Oksana Trushkevych and Gordon Dobie and Edwards, {Rachel S.} and Steven Dixon and Charles MacLeod and Anthony Gachagan and Pierce, {S. Gareth}",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2019 IEEE International Ultrasonics Symposium : IEEE UFFC, IUS 2019 ; Conference date: 06-10-2019 Through 09-10-2019",

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AU - Tabatabaeipour, Morteza

AU - Trushkevych, Oksana

AU - Dobie, Gordon

AU - Edwards, Rachel S.

AU - Dixon, Steven

AU - MacLeod, Charles

AU - Gachagan, Anthony

AU - Pierce, S. Gareth

N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/10/6

Y1 - 2019/10/6

N2 - Ultrasonic guided wave imaging techniques have received much attention in recent years for fast screening of large structures. Here we explore the feasibility of Occupancy Grid Mapping (OGM) in order to construct a map of an unknown component for inspection. OGM is a well-established algorithm in robotics, but for the first time we are applying it to Shear Horizontal (SH) guided wave imaging. This approach, in contrast to some existing guided wave-based imaging techniques, would not require prior knowledge of an intact state of the sample. OGM works on the ranges obtained by the Time of Flight (ToF) of the received signals operating in pseudo-pulse-echo mode.

AB - Ultrasonic guided wave imaging techniques have received much attention in recent years for fast screening of large structures. Here we explore the feasibility of Occupancy Grid Mapping (OGM) in order to construct a map of an unknown component for inspection. OGM is a well-established algorithm in robotics, but for the first time we are applying it to Shear Horizontal (SH) guided wave imaging. This approach, in contrast to some existing guided wave-based imaging techniques, would not require prior knowledge of an intact state of the sample. OGM works on the ranges obtained by the Time of Flight (ToF) of the received signals operating in pseudo-pulse-echo mode.

KW - ultrasonic inspection

KW - SH guided waves

KW - occupancy grid mapping

KW - robotic mapping

KW - EMAT

UR - https://attend.ieee.org/ius-2019/

M3 - Paper

T2 - 2019 IEEE International Ultrasonics Symposium

Y2 - 6 October 2019 through 9 October 2019

ER -

A feasability study on guided wave-based robotic mapping

Abstract

Conference

Keywords

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Prosperity Partnership: Delivering Enhanced Through-Life Nuclear Asset Management

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2019 IEEE International Ultrasonics Symposium

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A feasability study on guided wave-based robotic mapping

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Prosperity Partnership: Delivering Enhanced Through-Life Nuclear Asset Management

UK Research Centre In Non-Destructive Evaluation (RCNDE) 2014-2020

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2019 IEEE International Ultrasonics Symposium

Cite this