Damage localisation using symbolic time series approach

Alamdari, MM; Li, J; Samali, B

Damage localisation using symbolic time series approach

Alamdari, MM Li, J

Samali, B

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Publication Type:: Conference Proceeding
Citation:: Conference Proceedings of the Society for Experimental Mechanics Series, 2014, 4 pp. 109 - 115
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Alamdari, MM	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Conference Proceedings of the Society for Experimental Mechanics Series, 2014, 4 pp. 109 - 115	en_US
dc.identifier.isbn	9783319007762	en_US
dc.identifier.issn	2191-5644	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121391
dc.description.abstract	© The Society for Experimental Mechanics, Inc. 2014. The objective of this paper is to localise damage in a single or multiple state at early stages of development based on the principles of symbolic dynamics. Symbolic Time Series Analysis (STSA) of noise-contaminated responses is used for feature extraction to detect and localise a gradually evolving deterioration in the structure according to the changes in the statistical behaviour of symbol sequences. The method consists of four primary steps: (1) generating the time series data by a set of measurements over time at evenly spaced locations along the structure; (2) creating the symbol space to generate symbol sequences based on the wavelet transformed version of time series data; (3) developing the symbol probability vectors to achieve anomaly measures; (4) localising damage based on any sudden variation in anomaly measure of two adjacent locations. The method was applied to a clamped–clamped beam subjected to random excitation in presence of 5 % white noise to examine the efficiency and limitations of the method. Simulation results under various damage conditions confirmed the efficiency of the proposed approach for localisation of gradually evolving deterioration in the structure, however, for the future work the method needs to be verified by experimental data.	en_US
dc.relation.ispartof	Conference Proceedings of the Society for Experimental Mechanics Series	en_US
dc.relation.isbasedon	10.1007/978-3-319-04546-7_13	en_US
dc.title	Damage localisation using symbolic time series approach	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	0905 Civil 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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

© The Society for Experimental Mechanics, Inc. 2014. The objective of this paper is to localise damage in a single or multiple state at early stages of development based on the principles of symbolic dynamics. Symbolic Time Series Analysis (STSA) of noise-contaminated responses is used for feature extraction to detect and localise a gradually evolving deterioration in the structure according to the changes in the statistical behaviour of symbol sequences. The method consists of four primary steps: (1) generating the time series data by a set of measurements over time at evenly spaced locations along the structure; (2) creating the symbol space to generate symbol sequences based on the wavelet transformed version of time series data; (3) developing the symbol probability vectors to achieve anomaly measures; (4) localising damage based on any sudden variation in anomaly measure of two adjacent locations. The method was applied to a clamped–clamped beam subjected to random excitation in presence of 5 % white noise to examine the efficiency and limitations of the method. Simulation results under various damage conditions confirmed the efficiency of the proposed approach for localisation of gradually evolving deterioration in the structure, however, for the future work the method needs to be verified by experimental data.

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http://hdl.handle.net/10453/121391