Wind turbine condition monitoring and reliability analysis by SCADA information

Wenxian Yang; Jiesheng Jiang

doi:10.1109/MACE.2011.5987329

Wind turbine condition monitoring and reliability analysis by SCADA information

Wenxian Yang, Jiesheng Jiang

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

49 Citations (Scopus)

Abstract

As the deployment of onshore wind turbines becomes established and with an increasing deployment of offshore wind turbines, to ensure a high reliability and availability of these machines has become the focus of interest within the academic and industrial communities. One of the approaches to meet this requirement is to develop a Reliability Centered Maintenance (RCM) strategy with the aid of an advanced condition monitoring and reliability prediction system. The aim of this paper is to describe the basic idea of how wind farm Supervisory Control and Data Acquisition (SCADA) system contributes to establishing such a strategy. Examples have been given in the paper for providing a clear explanation of the opinions.

Original language	English
Title of host publication	2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings
Publisher	IEEE
Pages	1872-1875
Number of pages	4
ISBN (Electronic)	9781424494392, 9781424494385
ISBN (Print)	9781424494361
DOIs	https://doi.org/10.1109/MACE.2011.5987329
Publication status	Published - 18 Aug 2011
Externally published	Yes
Event	2nd International Conference on Mechanic Automation and Control Engineering - Inner Mongolia, China Duration: 15 Jul 2011 → 17 Jul 2011 Conference number: 2

Conference

Conference	2nd International Conference on Mechanic Automation and Control Engineering
Abbreviated title	MACE 2011
Country/Territory	China
City	Inner Mongolia
Period	15/07/11 → 17/07/11

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/MACE.2011.5987329Licence: Unspecified

Cite this

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title = "Wind turbine condition monitoring and reliability analysis by SCADA information",

abstract = "As the deployment of onshore wind turbines becomes established and with an increasing deployment of offshore wind turbines, to ensure a high reliability and availability of these machines has become the focus of interest within the academic and industrial communities. One of the approaches to meet this requirement is to develop a Reliability Centered Maintenance (RCM) strategy with the aid of an advanced condition monitoring and reliability prediction system. The aim of this paper is to describe the basic idea of how wind farm Supervisory Control and Data Acquisition (SCADA) system contributes to establishing such a strategy. Examples have been given in the paper for providing a clear explanation of the opinions.",

keywords = "Condition monitoring, Reliability, Reliability centered maintenance, SCADA, Wind turbine",

author = "Wenxian Yang and Jiesheng Jiang",

year = "2011",

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doi = "10.1109/MACE.2011.5987329",

language = "English",

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pages = "1872--1875",

booktitle = "2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings",

publisher = "IEEE",

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note = "2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 ; Conference date: 15-07-2011 Through 17-07-2011",

}

Yang, W & Jiang, J 2011, Wind turbine condition monitoring and reliability analysis by SCADA information. in 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings., 5987329, IEEE, pp. 1872-1875, 2nd International Conference on Mechanic Automation and Control Engineering, Inner Mongolia, China, 15/07/11. https://doi.org/10.1109/MACE.2011.5987329

TY - GEN

T1 - Wind turbine condition monitoring and reliability analysis by SCADA information

AU - Yang, Wenxian

AU - Jiang, Jiesheng

N1 - Conference code: 2

PY - 2011/8/18

Y1 - 2011/8/18

N2 - As the deployment of onshore wind turbines becomes established and with an increasing deployment of offshore wind turbines, to ensure a high reliability and availability of these machines has become the focus of interest within the academic and industrial communities. One of the approaches to meet this requirement is to develop a Reliability Centered Maintenance (RCM) strategy with the aid of an advanced condition monitoring and reliability prediction system. The aim of this paper is to describe the basic idea of how wind farm Supervisory Control and Data Acquisition (SCADA) system contributes to establishing such a strategy. Examples have been given in the paper for providing a clear explanation of the opinions.

AB - As the deployment of onshore wind turbines becomes established and with an increasing deployment of offshore wind turbines, to ensure a high reliability and availability of these machines has become the focus of interest within the academic and industrial communities. One of the approaches to meet this requirement is to develop a Reliability Centered Maintenance (RCM) strategy with the aid of an advanced condition monitoring and reliability prediction system. The aim of this paper is to describe the basic idea of how wind farm Supervisory Control and Data Acquisition (SCADA) system contributes to establishing such a strategy. Examples have been given in the paper for providing a clear explanation of the opinions.

KW - Condition monitoring

KW - Reliability

KW - Reliability centered maintenance

KW - SCADA

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/80054803633

U2 - 10.1109/MACE.2011.5987329

DO - 10.1109/MACE.2011.5987329

M3 - Conference contribution

AN - SCOPUS:80054803633

SN - 9781424494361

SP - 1872

EP - 1875

BT - 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

PB - IEEE

T2 - 2nd International Conference on Mechanic Automation and Control Engineering

Y2 - 15 July 2011 through 17 July 2011

ER -

Wind turbine condition monitoring and reliability analysis by SCADA information

Abstract

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UN SDGs

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