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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538659359
DOIs	https://doi.org/10.1109/ROPEC.2018.8661397
State	Published - 2 Jul 2018
Event	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 - Ixtapa, Guerrero, Mexico Duration: 14 Nov 2018 → 16 Nov 2018

Publication series

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

Conference

Conference	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Country/Territory	Mexico
City	Ixtapa, Guerrero
Period	14/11/18 → 16/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Blade
Instrumentation
Strain gauge
Stress analysis
Wind turbine.

Access to Document

10.1109/ROPEC.2018.8661397

Cite this

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. In 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 Article 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,

day = "2",

doi = "10.1109/ROPEC.2018.8661397",

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

series = "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. in 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, Mexico, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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