A Shannon entropy approach for structural damage identification based on self-powered sensor data

Mousavi, M; Holloway, D; Olivier, JC; Alavi, AH; Gandomi, AH

A Shannon entropy approach for structural damage identification based on self-powered sensor data

Mousavi, M Holloway, D Olivier, JC Alavi, AH Gandomi, AH

Permalink

Publication Type:: Journal Article
Citation:: Engineering Structures, 2019, 200
Issue Date:: 2019-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 1 Dec 2021

Adobe PDF

Download Accepted ManuscriptAdobe PDF (824.13 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Mousavi, M	en_US
dc.contributor.author	Holloway, D	en_US
dc.contributor.author	Olivier, JC	en_US
dc.contributor.author	Alavi, AH	en_US
dc.contributor.author	Gandomi, AH https://orcid.org/0000-0002-2798-0104	en_US
dc.date.issued	2019-12-01	en_US
dc.identifier.citation	Engineering Structures, 2019, 200	en_US
dc.identifier.issn	0141-0296	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136880
dc.description.abstract	© 2019 Elsevier Ltd Piezo-floating-gate (PFG) sensors are a class of self-powered sensors fabricated using piezoelectric transducers and p-channel floating-gate metal-oxide-semiconductor (pMOS) transistors. These sensors are equipped with a series of floating-gates that are triggered when the voltage generated by the piezoelectric transducers exceeds one of the specified thresholds. Upon activation, the floating-gates cumulatively store the duration of the applied strain events. Defining optimal voltage thresholds plays a key role in the efficiency of the PFG sensors for structural damage identification. In this paper, symbolic dynamic analysis (SDA) based on Shannon entropy is used to find the effective voltage thresholds that ensure the maximum detectability of the structural damage-related changes. To this end, a baseline is constructed using the strain data obtained from the undamaged structure. These data are used to set the voltage threshold on every floating gate of the sensor. Then the posterior state of the structure is monitored using thresholds set up on the baseline and a cumulative density function (CDF) of strain events. In order to determine the damage severity, a damage index is defined based on the Euclidean norm of the distance between the CDFs for the damaged and healthy structure. The proposed technique is verified using experimental data for a steel plate subjected to an in-plane tension loading. The results confirm the capability of the proposed method in monitoring structures for damage initiation and/or propagation using the PFG sensors, and the CDFs on which the damage sensitive feature (DSF) is based can provide additional insights into the stress distributions.	en_US
dc.relation.ispartof	Engineering Structures	en_US
dc.relation.isbasedon	10.1016/j.engstruct.2019.109619	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Civil Engineering	en_US
dc.title	A Shannon entropy approach for structural damage identification based on self-powered sensor data	en_US
dc.type	Journal Article
utslib.citation.volume	200	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0912 Materials Engineering	en_US
utslib.for	0915 Interdisciplinary 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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-12-01T00:00:00+1100
pubs.publication-status	Published	en_US
pubs.volume	200	en_US

Abstract:

© 2019 Elsevier Ltd Piezo-floating-gate (PFG) sensors are a class of self-powered sensors fabricated using piezoelectric transducers and p-channel floating-gate metal-oxide-semiconductor (pMOS) transistors. These sensors are equipped with a series of floating-gates that are triggered when the voltage generated by the piezoelectric transducers exceeds one of the specified thresholds. Upon activation, the floating-gates cumulatively store the duration of the applied strain events. Defining optimal voltage thresholds plays a key role in the efficiency of the PFG sensors for structural damage identification. In this paper, symbolic dynamic analysis (SDA) based on Shannon entropy is used to find the effective voltage thresholds that ensure the maximum detectability of the structural damage-related changes. To this end, a baseline is constructed using the strain data obtained from the undamaged structure. These data are used to set the voltage threshold on every floating gate of the sensor. Then the posterior state of the structure is monitored using thresholds set up on the baseline and a cumulative density function (CDF) of strain events. In order to determine the damage severity, a damage index is defined based on the Euclidean norm of the distance between the CDFs for the damaged and healthy structure. The proposed technique is verified using experimental data for a steel plate subjected to an in-plane tension loading. The results confirm the capability of the proposed method in monitoring structures for damage initiation and/or propagation using the PFG sensors, and the CDFs on which the damage sensitive feature (DSF) is based can provide additional insights into the stress distributions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/136880