Extreme value estimates using vibration energy harvesting

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dc.contributor.author Vathakkattil Joseph, George
dc.contributor.author Hao, Guangbo
dc.contributor.author Pakrashi, Vikram
dc.date.accessioned 2018-10-19T08:49:37Z
dc.date.available 2018-10-19T08:49:37Z
dc.date.issued 2018-09-11
dc.identifier.citation Vathakkattil Joseph, G., Hao, G. and Pakrashi, V. (2018) 'Extreme value estimates using vibration energy harvesting', Journal of Sound and Vibration, 437, pp. 29-39. doi:10.1016/j.jsv.2018.08.045 en
dc.identifier.volume 437 en
dc.identifier.startpage 29 en
dc.identifier.endpage 39 en
dc.identifier.issn 0022-460X
dc.identifier.uri http://hdl.handle.net/10468/7020
dc.identifier.doi 10.1016/j.jsv.2018.08.045
dc.description.abstract This paper establishes the possibility of utilizing energy harvesting from mechanical vibrations to estimate extreme value responses of the host structure and demonstrates the calibration of these estimates for excitation spectra typical to natural systems. For illustrative purposes, a cantilever type energy harvester is considered for wind excitation. The extreme value estimates are established through a Generalized Pareto Distribution (GPD). Classically well-known Kaimal and Davenport spectra for wind have been considered in this paper for comparison purposes. The applicability of GPD for processes with short-range dependence is explored in both linear and nonlinear systems. The work also demonstrates how return levels can be mapped using energy harvesting levels and indicates that vibration energy harvesting, in its own right, has the potential to be used for extreme value analysis and estimates. The work has impact on health monitoring and assessment of built infrastructure in various stages of repair or disrepair and exposed to nature throughout their lifetime. en
dc.description.sponsorship Tata Trusts (J. N. Tata Endowment for Higher Education) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier Ltd en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0022460X18305522
dc.rights © 2018, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Energy harvesting en
dc.subject Vibration en
dc.subject Extreme value estimation en
dc.title Extreme value estimates using vibration energy harvesting en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Guangbo Hao, Electrical & Electronic Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: g.hao@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 24 months after publication by request of the publisher. en
dc.check.date 2020-09-11
dc.date.updated 2018-10-18T09:27:14Z
dc.description.version Accepted Version en
dc.internal.rssid 458354277
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Tata Trusts en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Sound and Vibration en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress g.hao@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2302/IE/Marine Renewable Energy Ireland (MaREI) - The SFI Centre for Marine Renewable Energy Research/ en

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© 2018, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2018, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
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