Cargando…

Piezoelectric Energy Harvester Response Statistics

Safety and reliability are essential engineering concerns for energy-harvesting installations. In the case of the piezoelectric galloping energy harvester, there is a risk that excessive wake galloping may lead to instability, overload, and thus damage. With this in mind, this paper studies bivariat...

Descripción completa

Detalles Bibliográficos
Autores principales: Gaidai, Oleg, Cao, Yu, Xing, Yihan, Wang, Junlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963450/
https://www.ncbi.nlm.nih.gov/pubmed/36837974
http://dx.doi.org/10.3390/mi14020271
_version_ 1784896256948043776
author Gaidai, Oleg
Cao, Yu
Xing, Yihan
Wang, Junlei
author_facet Gaidai, Oleg
Cao, Yu
Xing, Yihan
Wang, Junlei
author_sort Gaidai, Oleg
collection PubMed
description Safety and reliability are essential engineering concerns for energy-harvesting installations. In the case of the piezoelectric galloping energy harvester, there is a risk that excessive wake galloping may lead to instability, overload, and thus damage. With this in mind, this paper studies bivariate statistics of the extreme, experimental galloping energy harvester dynamic response under realistic environmental conditions. The bivariate statistics were extracted from experimental wind tunnel results, specifically for the voltage-force data set. Authors advocate a novel general-purpose reliability approach that may be applied to a wide range of dynamic systems, including micro-machines. Both experimental and numerically simulated dynamic responses can be used as input for the suggested structural reliability analysis. The statistical analysis proposed in this study may be used at the design stage, supplying proper characteristic values and safeguarding the dynamic system from overload, thus extending the machine’s lifetime. This work introduces a novel bivariate technique for reliability analysis instead of the more general univariate design approaches.
format Online
Article
Text
id pubmed-9963450
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99634502023-02-26 Piezoelectric Energy Harvester Response Statistics Gaidai, Oleg Cao, Yu Xing, Yihan Wang, Junlei Micromachines (Basel) Article Safety and reliability are essential engineering concerns for energy-harvesting installations. In the case of the piezoelectric galloping energy harvester, there is a risk that excessive wake galloping may lead to instability, overload, and thus damage. With this in mind, this paper studies bivariate statistics of the extreme, experimental galloping energy harvester dynamic response under realistic environmental conditions. The bivariate statistics were extracted from experimental wind tunnel results, specifically for the voltage-force data set. Authors advocate a novel general-purpose reliability approach that may be applied to a wide range of dynamic systems, including micro-machines. Both experimental and numerically simulated dynamic responses can be used as input for the suggested structural reliability analysis. The statistical analysis proposed in this study may be used at the design stage, supplying proper characteristic values and safeguarding the dynamic system from overload, thus extending the machine’s lifetime. This work introduces a novel bivariate technique for reliability analysis instead of the more general univariate design approaches. MDPI 2023-01-20 /pmc/articles/PMC9963450/ /pubmed/36837974 http://dx.doi.org/10.3390/mi14020271 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gaidai, Oleg
Cao, Yu
Xing, Yihan
Wang, Junlei
Piezoelectric Energy Harvester Response Statistics
title Piezoelectric Energy Harvester Response Statistics
title_full Piezoelectric Energy Harvester Response Statistics
title_fullStr Piezoelectric Energy Harvester Response Statistics
title_full_unstemmed Piezoelectric Energy Harvester Response Statistics
title_short Piezoelectric Energy Harvester Response Statistics
title_sort piezoelectric energy harvester response statistics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963450/
https://www.ncbi.nlm.nih.gov/pubmed/36837974
http://dx.doi.org/10.3390/mi14020271
work_keys_str_mv AT gaidaioleg piezoelectricenergyharvesterresponsestatistics
AT caoyu piezoelectricenergyharvesterresponsestatistics
AT xingyihan piezoelectricenergyharvesterresponsestatistics
AT wangjunlei piezoelectricenergyharvesterresponsestatistics