Blade stress monitoring in a small wind turbine by using Arduino microcontroller

Carlos Mejia; Christian Llivisaca; Luis I. Minchala; L. G. Gonzalez; Javier Gonzalez

doi:10.1109/ROPEC.2018.8661397

Blade stress monitoring in a small wind turbine by using Arduino microcontroller

Carlos Mejia, Christian Llivisaca, Luis I. Minchala, L. G. Gonzalez, Javier Gonzalez

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

This work presents the design and development of a remote monitoring system for the blades' strain in a small wind turbine (SWT). The monitoring system allows real-time transmission of the stress to a remote client which processes the information in order to suggest further control actions to guarantee a reliable wind turbine operation. Experimental results show an increased axial strain of the blade when the rotational speed of the wind turbine is increased. Additionally, an efficient transmission of the stress measurements is achieved by two communication approaches (wired and wireless) to a remote station, which logs and processes the information.

Idioma original	Inglés
Título de la publicación alojada	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781538659359
DOI	https://doi.org/10.1109/ROPEC.2018.8661397
Estado	Publicada - 2 jul. 2018
Evento	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 - Ixtapa, Guerrero, México Duración: 14 nov. 2018 → 16 nov. 2018

Serie de la publicación

Nombre	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

Conferencia

Conferencia	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
País/Territorio	México
Ciudad	Ixtapa, Guerrero
Período	14/11/18 → 16/11/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ROPEC.2018.8661397

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Mejia, C., Llivisaca, C., Minchala, L. I., Gonzalez, L. G., & Gonzalez, J. (2018). Blade stress monitoring in a small wind turbine by using Arduino microcontroller. En 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 Artículo 8661397 (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC.2018.8661397

Mejia, Carlos ; Llivisaca, Christian ; Minchala, Luis I. et al. / Blade stress monitoring in a small wind turbine by using Arduino microcontroller. 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018).

@inproceedings{7f34bbf6079f4ecaafaa6d15b2676008,

title = "Blade stress monitoring in a small wind turbine by using Arduino microcontroller",

abstract = "This work presents the design and development of a remote monitoring system for the blades' strain in a small wind turbine (SWT). The monitoring system allows real-time transmission of the stress to a remote client which processes the information in order to suggest further control actions to guarantee a reliable wind turbine operation. Experimental results show an increased axial strain of the blade when the rotational speed of the wind turbine is increased. Additionally, an efficient transmission of the stress measurements is achieved by two communication approaches (wired and wireless) to a remote station, which logs and processes the information.",

keywords = "Blade, Instrumentation, Strain gauge, Stress analysis, Wind turbine.",

author = "Carlos Mejia and Christian Llivisaca and Minchala, \{Luis I.\} and Gonzalez, \{L. G.\} and Javier Gonzalez",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 ; Conference date: 14-11-2018 Through 16-11-2018",

year = "2018",

month = jul,

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doi = "10.1109/ROPEC.2018.8661397",

language = "Ingl{\'e}s",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018",

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Mejia, C, Llivisaca, C, Minchala, LI, Gonzalez, LG & Gonzalez, J 2018, Blade stress monitoring in a small wind turbine by using Arduino microcontroller. En 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018., 8661397, 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018, Ixtapa, Guerrero, México, 14/11/18. https://doi.org/10.1109/ROPEC.2018.8661397

Blade stress monitoring in a small wind turbine by using Arduino microcontroller. / Mejia, Carlos; Llivisaca, Christian; Minchala, Luis I. et al.
2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8661397 (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Blade stress monitoring in a small wind turbine by using Arduino microcontroller

AU - Mejia, Carlos

AU - Llivisaca, Christian

AU - Minchala, Luis I.

AU - Gonzalez, L. G.

AU - Gonzalez, Javier

PY - 2018/7/2

Y1 - 2018/7/2

N2 - This work presents the design and development of a remote monitoring system for the blades' strain in a small wind turbine (SWT). The monitoring system allows real-time transmission of the stress to a remote client which processes the information in order to suggest further control actions to guarantee a reliable wind turbine operation. Experimental results show an increased axial strain of the blade when the rotational speed of the wind turbine is increased. Additionally, an efficient transmission of the stress measurements is achieved by two communication approaches (wired and wireless) to a remote station, which logs and processes the information.

AB - This work presents the design and development of a remote monitoring system for the blades' strain in a small wind turbine (SWT). The monitoring system allows real-time transmission of the stress to a remote client which processes the information in order to suggest further control actions to guarantee a reliable wind turbine operation. Experimental results show an increased axial strain of the blade when the rotational speed of the wind turbine is increased. Additionally, an efficient transmission of the stress measurements is achieved by two communication approaches (wired and wireless) to a remote station, which logs and processes the information.

KW - Blade

KW - Instrumentation

KW - Strain gauge

KW - Stress analysis

KW - Wind turbine.

UR - https://www.scopus.com/pages/publications/85063916964

U2 - 10.1109/ROPEC.2018.8661397

DO - 10.1109/ROPEC.2018.8661397

M3 - Contribución a la conferencia

AN - SCOPUS:85063916964

T3 - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

BT - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

Y2 - 14 November 2018 through 16 November 2018

ER -

Mejia C, Llivisaca C, Minchala LI, Gonzalez LG, Gonzalez J. Blade stress monitoring in a small wind turbine by using Arduino microcontroller. En 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8661397. (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018). doi: 10.1109/ROPEC.2018.8661397

Blade stress monitoring in a small wind turbine by using Arduino microcontroller

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