Maintenance management in wind turbines by monitoring the bearing temperature

Ana María Peco Chacón; Long Zhang; Fausto Pedro García Márquez

doi:10.1007/978-3-030-21248-3_50

Maintenance management in wind turbines by monitoring the bearing temperature

Ana María Peco Chacón
, Long Zhang
, Fausto Pedro García Márquez^*

^*Corresponding author for this work

Universidad de Castilla - La Mancha

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

Abstract

Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1
Editors	Jiuping Xu, Gheorghe Duca, Fang Lee Cooke, Syed Ejaz Ahmed
Publisher	Springer Nature
Pages	678-687
Number of pages	10
ISBN (Print)	9783030212476
DOIs	https://doi.org/10.1007/978-3-030-21248-3_50
Publication status	Published - 2019
Event	13th International Conference on Management Science and Engineering Management, ICMSEM 2019 - St. Catharines, Canada Duration: 5 Aug 2019 → 8 Aug 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1001
ISSN (Print)	2194-5357

Conference

Conference	13th International Conference on Management Science and Engineering Management, ICMSEM 2019
Country/Territory	Canada
City	St. Catharines
Period	5/08/19 → 8/08/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Curve power
Fault detection
Renewable energy
SCADA
Wind turbine

Access to Document

10.1007/978-3-030-21248-3_50

Cite this

Chacón, A. M. P., Zhang, L., & Márquez, F. P. G. (2019). Maintenance management in wind turbines by monitoring the bearing temperature. In J. Xu, G. Duca, F. L. Cooke, & S. E. Ahmed (Eds.), Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1 (pp. 678-687). (Advances in Intelligent Systems and Computing; Vol. 1001). Springer Nature. https://doi.org/10.1007/978-3-030-21248-3_50

Chacón, Ana María Peco ; Zhang, Long ; Márquez, Fausto Pedro García. / Maintenance management in wind turbines by monitoring the bearing temperature. Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1. editor / Jiuping Xu ; Gheorghe Duca ; Fang Lee Cooke ; Syed Ejaz Ahmed. Springer Nature, 2019. pp. 678-687 (Advances in Intelligent Systems and Computing).

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title = "Maintenance management in wind turbines by monitoring the bearing temperature",

abstract = "Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.",

keywords = "Curve power, Fault detection, Renewable energy, SCADA, Wind turbine",

author = "Chac{\'o}n, \{Ana Mar{\'i}a Peco\} and Long Zhang and M{\'a}rquez, \{Fausto Pedro Garc{\'i}a\}",

year = "2019",

doi = "10.1007/978-3-030-21248-3\_50",

language = "English",

isbn = "9783030212476",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Nature",

pages = "678--687",

editor = "Jiuping Xu and Gheorghe Duca and Cooke, \{Fang Lee\} and Ahmed, \{Syed Ejaz\}",

booktitle = "Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1",

address = "United States",

note = "13th International Conference on Management Science and Engineering Management, ICMSEM 2019 ; Conference date: 05-08-2019 Through 08-08-2019",

}

Chacón, AMP, Zhang, L & Márquez, FPG 2019, Maintenance management in wind turbines by monitoring the bearing temperature. in J Xu, G Duca, FL Cooke & SE Ahmed (eds), Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1. Advances in Intelligent Systems and Computing, vol. 1001, Springer Nature, pp. 678-687, 13th International Conference on Management Science and Engineering Management, ICMSEM 2019, St. Catharines, Canada, 5/08/19. https://doi.org/10.1007/978-3-030-21248-3_50

Maintenance management in wind turbines by monitoring the bearing temperature. / Chacón, Ana María Peco; Zhang, Long; Márquez, Fausto Pedro García.
Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1. ed. / Jiuping Xu; Gheorghe Duca; Fang Lee Cooke; Syed Ejaz Ahmed. Springer Nature, 2019. p. 678-687 (Advances in Intelligent Systems and Computing; Vol. 1001).

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

TY - GEN

T1 - Maintenance management in wind turbines by monitoring the bearing temperature

AU - Chacón, Ana María Peco

AU - Zhang, Long

AU - Márquez, Fausto Pedro García

PY - 2019

Y1 - 2019

N2 - Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.

AB - Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.

KW - Curve power

KW - Fault detection

KW - Renewable energy

KW - SCADA

KW - Wind turbine

U2 - 10.1007/978-3-030-21248-3_50

DO - 10.1007/978-3-030-21248-3_50

M3 - Conference contribution

AN - SCOPUS:85068213854

SN - 9783030212476

T3 - Advances in Intelligent Systems and Computing

SP - 678

EP - 687

BT - Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1

A2 - Xu, Jiuping

A2 - Duca, Gheorghe

A2 - Cooke, Fang Lee

A2 - Ahmed, Syed Ejaz

PB - Springer Nature

T2 - 13th International Conference on Management Science and Engineering Management, ICMSEM 2019

Y2 - 5 August 2019 through 8 August 2019

ER -

Chacón AMP, Zhang L, Márquez FPG. Maintenance management in wind turbines by monitoring the bearing temperature. In Xu J, Duca G, Cooke FL, Ahmed SE, editors, Proceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1. Springer Nature. 2019. p. 678-687. (Advances in Intelligent Systems and Computing). Epub 2019 Jun 20. doi: 10.1007/978-3-030-21248-3_50

Maintenance management in wind turbines by monitoring the bearing temperature

Abstract

Publication series

Conference

UN SDGs

Keywords

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