Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines

Raúl Ruiz de la Hermosa González-Carrato; Fausto Pedro García Márquez; Karyotakis Alexander; Mayorkinos Papaelias

doi:10.1007/978-3-662-47241-5_99

Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines

Raúl Ruiz de la Hermosa González-Carrato^*
, Fausto Pedro García Márquez
, Karyotakis Alexander
, Mayorkinos Papaelias

^*Corresponding author for this work

Metallurgy and Materials

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

Abstract

Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS) of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and data acquisition to guarantee correct levels of RAMS.Afault detection and diagnosis methodology is proposed for large-scale industrialWTs. The method applies the wavelet and Fourier analysis to vibration signals. A number of turbines (up to 3) of the same type will be instrumented in the same wind farm. The data collected from the individual turbines will be fused and analysed together in order to determine the overall reliability of this particular wind farm and wind turbine type. It is expected that data fusion will allow a significant improvement in overall reliability since the value of the information gained from the various condition monitoring systems will be enhanced. Effort will also focus on the successful application of dependable embedded computer systems for the reliable implementation of wind turbine condition monitoring and control technologies.

Original language	English
Title of host publication	Proceedings of the 9th International Conference on Management Science and Engineering Management
Editors	Virgilio Cruz Machado, Jiuping Xu, Stefan Nickel, Asaf Hajiyev
Publisher	Springer Verlag
Pages	1175-1188
Number of pages	14
ISBN (Electronic)	9783662472408
DOIs	https://doi.org/10.1007/978-3-662-47241-5_99
Publication status	Published - 2015
Event	9th International Conference on Management Science and Engineering Management, ICMSEM 2015 - Karlsruhe, Germany Duration: 21 Jul 2015 → 23 Jul 2015

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	362
ISSN (Print)	2194-5357

Conference

Conference	9th International Conference on Management Science and Engineering Management, ICMSEM 2015
Country/Territory	Germany
City	Karlsruhe
Period	21/07/15 → 23/07/15

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.

Keywords

Fast Fourier transform
Maintenance management
Vibration
Wavelet
Wind turbines

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-662-47241-5_99

Cite this

de la Hermosa González-Carrato, R. R., Márquez, F. P. G., Alexander, K., & Papaelias, M. (2015). Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines. In V. C. Machado, J. Xu, S. Nickel, & A. Hajiyev (Eds.), Proceedings of the 9th International Conference on Management Science and Engineering Management (pp. 1175-1188). (Advances in Intelligent Systems and Computing; Vol. 362). Springer Verlag. https://doi.org/10.1007/978-3-662-47241-5_99

de la Hermosa González-Carrato, Raúl Ruiz ; Márquez, Fausto Pedro García ; Alexander, Karyotakis et al. / Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines. Proceedings of the 9th International Conference on Management Science and Engineering Management. editor / Virgilio Cruz Machado ; Jiuping Xu ; Stefan Nickel ; Asaf Hajiyev. Springer Verlag, 2015. pp. 1175-1188 (Advances in Intelligent Systems and Computing).

@inproceedings{8747ba09771748e7a2e647498f86c7a0,

title = "Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines",

abstract = "Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS) of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and data acquisition to guarantee correct levels of RAMS.Afault detection and diagnosis methodology is proposed for large-scale industrialWTs. The method applies the wavelet and Fourier analysis to vibration signals. A number of turbines (up to 3) of the same type will be instrumented in the same wind farm. The data collected from the individual turbines will be fused and analysed together in order to determine the overall reliability of this particular wind farm and wind turbine type. It is expected that data fusion will allow a significant improvement in overall reliability since the value of the information gained from the various condition monitoring systems will be enhanced. Effort will also focus on the successful application of dependable embedded computer systems for the reliable implementation of wind turbine condition monitoring and control technologies.",

keywords = "Fast Fourier transform, Maintenance management, Vibration, Wavelet, Wind turbines",

author = "\{de la Hermosa Gonz{\'a}lez-Carrato\}, \{Ra{\'u}l Ruiz\} and M{\'a}rquez, \{Fausto Pedro Garc{\'i}a\} and Karyotakis Alexander and Mayorkinos Papaelias",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 9th International Conference on Management Science and Engineering Management, ICMSEM 2015 ; Conference date: 21-07-2015 Through 23-07-2015",

year = "2015",

doi = "10.1007/978-3-662-47241-5\_99",

language = "English",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1175--1188",

editor = "Machado, \{Virgilio Cruz\} and Jiuping Xu and Stefan Nickel and Asaf Hajiyev",

booktitle = "Proceedings of the 9th International Conference on Management Science and Engineering Management",

}

de la Hermosa González-Carrato, RR, Márquez, FPG, Alexander, K & Papaelias, M 2015, Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines. in VC Machado, J Xu, S Nickel & A Hajiyev (eds), Proceedings of the 9th International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol. 362, Springer Verlag, pp. 1175-1188, 9th International Conference on Management Science and Engineering Management, ICMSEM 2015, Karlsruhe, Germany, 21/07/15. https://doi.org/10.1007/978-3-662-47241-5_99

Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines. / de la Hermosa González-Carrato, Raúl Ruiz; Márquez, Fausto Pedro García; Alexander, Karyotakis et al.
Proceedings of the 9th International Conference on Management Science and Engineering Management. ed. / Virgilio Cruz Machado; Jiuping Xu; Stefan Nickel; Asaf Hajiyev. Springer Verlag, 2015. p. 1175-1188 (Advances in Intelligent Systems and Computing; Vol. 362).

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

TY - GEN

T1 - Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines

AU - de la Hermosa González-Carrato, Raúl Ruiz

AU - Márquez, Fausto Pedro García

AU - Alexander, Karyotakis

AU - Papaelias, Mayorkinos

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS) of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and data acquisition to guarantee correct levels of RAMS.Afault detection and diagnosis methodology is proposed for large-scale industrialWTs. The method applies the wavelet and Fourier analysis to vibration signals. A number of turbines (up to 3) of the same type will be instrumented in the same wind farm. The data collected from the individual turbines will be fused and analysed together in order to determine the overall reliability of this particular wind farm and wind turbine type. It is expected that data fusion will allow a significant improvement in overall reliability since the value of the information gained from the various condition monitoring systems will be enhanced. Effort will also focus on the successful application of dependable embedded computer systems for the reliable implementation of wind turbine condition monitoring and control technologies.

AB - Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS) of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and data acquisition to guarantee correct levels of RAMS.Afault detection and diagnosis methodology is proposed for large-scale industrialWTs. The method applies the wavelet and Fourier analysis to vibration signals. A number of turbines (up to 3) of the same type will be instrumented in the same wind farm. The data collected from the individual turbines will be fused and analysed together in order to determine the overall reliability of this particular wind farm and wind turbine type. It is expected that data fusion will allow a significant improvement in overall reliability since the value of the information gained from the various condition monitoring systems will be enhanced. Effort will also focus on the successful application of dependable embedded computer systems for the reliable implementation of wind turbine condition monitoring and control technologies.

KW - Fast Fourier transform

KW - Maintenance management

KW - Vibration

KW - Wavelet

KW - Wind turbines

UR - https://www.scopus.com/pages/publications/84937485076

U2 - 10.1007/978-3-662-47241-5_99

DO - 10.1007/978-3-662-47241-5_99

M3 - Conference contribution

AN - SCOPUS:84937485076

T3 - Advances in Intelligent Systems and Computing

SP - 1175

EP - 1188

BT - Proceedings of the 9th International Conference on Management Science and Engineering Management

A2 - Machado, Virgilio Cruz

A2 - Xu, Jiuping

A2 - Nickel, Stefan

A2 - Hajiyev, Asaf

PB - Springer Verlag

T2 - 9th International Conference on Management Science and Engineering Management, ICMSEM 2015

Y2 - 21 July 2015 through 23 July 2015

ER -

de la Hermosa González-Carrato RR, Márquez FPG, Alexander K, Papaelias M. Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines. In Machado VC, Xu J, Nickel S, Hajiyev A, editors, Proceedings of the 9th International Conference on Management Science and Engineering Management. Springer Verlag. 2015. p. 1175-1188. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-662-47241-5_99

Methods and tools for the operational reliability optimisation of large-scale industrial wind turbines

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this