Linear Approximation for Mapping Remaining Wall Thickness Using a Magnetic Flux Leakage Sensor

Wijerathna, BS; Falque, R; Kodagoda, S; Dissanayake, G

Linear Approximation for Mapping Remaining Wall Thickness Using a Magnetic Flux Leakage Sensor

Wijerathna, BS

Falque, R Kodagoda, S

Dissanayake, G

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Publisher:: ACRA
Publication Type:: Conference Proceeding
Citation:: Website Proceedings of the 2016 Australasian Conference on Robotics and Automation, 2016, pp. 1 - 8
Issue Date:: 2016-12-05

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Field	Value	Language
dc.contributor.author	Wijerathna, BS https://orcid.org/0000-0002-5087-4369	en_US
dc.contributor.author	Falque, R	en_US
dc.contributor.author	Kodagoda, S https://orcid.org/0000-0001-5175-9138	en_US
dc.contributor.author	Dissanayake, G https://orcid.org/0000-0002-7992-0680	en_US
dc.date	2016-12-05	en_US
dc.date.issued	2016-12-05	en_US
dc.identifier.citation	Website Proceedings of the 2016 Australasian Conference on Robotics and Automation, 2016, pp. 1 - 8	en_US
dc.identifier.isbn	978-0-9807404-7-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/79694
dc.description.abstract	Use of an unconventional sensor for mapping the remaining wall thickness of a pipe is presented in this paper. This is achieved through the development of a sensor model relating the measurements from a Magnetic Flux Leakage (MFL) sensor to the environment geometry. Conventional sensors, such as laser-range finders commonly used in the robotic community are not able to infer thickness profiles of ferromagnetic structures such as water pipes when the surface is covered with corrosion products. Sensors based on electromagnetic principles or ultrasound are the methods of choice in such situations to estimate the extent of corrosion and predict eventual failure. The general relationship between readings from electromagnetic sensors and the environment geometry is governed by a set of partial differential equations (Maxwells equations). However, in the case of an MFL sensor, it is demonstrated that a linear combination of the thickness profiles can be used to adequately model the sensor signal. Parameters associated with the sensor model are obtained using a two-dimensional fi- nite element simulations. Extensive simulation results are presented to validate the proposed method by estimating a remaining wall thickness map of a realistic pipe.	en_US
dc.publisher	ACRA	en_US
dc.relation.ispartof	Website Proceedings of the 2016 Australasian Conference on Robotics and Automation	en_US
dc.relation.ispartof	Australasian Conference on Robotics and Automation	en_US
dc.title	Linear Approximation for Mapping Remaining Wall Thickness Using a Magnetic Flux Leakage Sensor	en_US
dc.type	Conference Proceeding
utslib.location	Australia	en_US
utslib.location.activity	The University of Queensland	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2016-12-07	en_US
pubs.place-of-publication	Australia	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2016-12-05	en_US

Abstract:

Use of an unconventional sensor for mapping the remaining wall thickness of a pipe is presented in this paper. This is achieved through the development of a sensor model relating the measurements from a Magnetic Flux Leakage (MFL) sensor to the environment geometry. Conventional sensors, such as laser-range finders commonly used in the robotic community are not able to infer thickness profiles of ferromagnetic structures such as water pipes when the surface is covered with corrosion products. Sensors based on electromagnetic principles or ultrasound are the methods of choice in such situations to estimate the extent of corrosion and predict eventual failure. The general relationship between readings from electromagnetic sensors and the environment geometry is governed by a set of partial differential equations (Maxwells equations). However, in the case of an MFL sensor, it is demonstrated that a linear combination of the thickness profiles can be used to adequately model the sensor signal. Parameters associated with the sensor model are obtained using a two-dimensional fi- nite element simulations. Extensive simulation results are presented to validate the proposed method by estimating a remaining wall thickness map of a realistic pipe.

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http://hdl.handle.net/10453/79694