A data acquisition platform for the development of a wind turbine condition monitoring system

G. Swiszcz, A.J. Cruden, C.D. Booth, W.E. Leithead

Research output: Chapter in Book/Report/Conference proceedingChapter

16 Citations (Scopus)

Abstract

Often condition monitoring (CM) system developers use simulation or test rig data due to a lack of actual wind turbine measurements however, this data may not necessarily reflect processes happening in the real turbine application. In order to determine different patterns of machinery deterioration, precise data of existing parameters at higher sampling frequencies up to 20 kHz is needed. Additional parameters, not currently commonly monitored, like turbine vibration or tower movement, are also desired. In this paper the design of a data acquisition (DAQ) platform to be mounted on a 660 kW Vestas V47 wind turbine is presented. The requirements and limitations of the data acquisition application are discussed. A detailed explanation of the data acquisition program developed in LabVIEW as well as the possibilities for remotely controlling this process are given. Finally, different methodologies for handling, storing and accessing large volumes of data are presented with the authors' optimal solution highlighted.
LanguageEnglish
Title of host publicationInternational Conference on Condition Monitoring and Diagnosis 2008
PublisherIEEE
Pages1358-1361
Number of pages3
ISBN (Print)978-1-4244-1621-9
DOIs
Publication statusPublished - Apr 2008

Fingerprint

Condition monitoring
Wind turbines
Data acquisition
Turbines
Towers
Machinery
Deterioration
Sampling

Keywords

  • condition monitoring
  • data acquisition
  • power system measurement
  • wind turbines

Cite this

Swiszcz, G., Cruden, A. J., Booth, C. D., & Leithead, W. E. (2008). A data acquisition platform for the development of a wind turbine condition monitoring system. In International Conference on Condition Monitoring and Diagnosis 2008 (pp. 1358-1361). IEEE. https://doi.org/10.1109/CMD.2008.4580521
Swiszcz, G. ; Cruden, A.J. ; Booth, C.D. ; Leithead, W.E. / A data acquisition platform for the development of a wind turbine condition monitoring system. International Conference on Condition Monitoring and Diagnosis 2008. IEEE, 2008. pp. 1358-1361
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Swiszcz, G, Cruden, AJ, Booth, CD & Leithead, WE 2008, A data acquisition platform for the development of a wind turbine condition monitoring system. in International Conference on Condition Monitoring and Diagnosis 2008. IEEE, pp. 1358-1361. https://doi.org/10.1109/CMD.2008.4580521

A data acquisition platform for the development of a wind turbine condition monitoring system. / Swiszcz, G.; Cruden, A.J.; Booth, C.D.; Leithead, W.E.

International Conference on Condition Monitoring and Diagnosis 2008. IEEE, 2008. p. 1358-1361.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - A data acquisition platform for the development of a wind turbine condition monitoring system

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AU - Leithead, W.E.

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N2 - Often condition monitoring (CM) system developers use simulation or test rig data due to a lack of actual wind turbine measurements however, this data may not necessarily reflect processes happening in the real turbine application. In order to determine different patterns of machinery deterioration, precise data of existing parameters at higher sampling frequencies up to 20 kHz is needed. Additional parameters, not currently commonly monitored, like turbine vibration or tower movement, are also desired. In this paper the design of a data acquisition (DAQ) platform to be mounted on a 660 kW Vestas V47 wind turbine is presented. The requirements and limitations of the data acquisition application are discussed. A detailed explanation of the data acquisition program developed in LabVIEW as well as the possibilities for remotely controlling this process are given. Finally, different methodologies for handling, storing and accessing large volumes of data are presented with the authors' optimal solution highlighted.

AB - Often condition monitoring (CM) system developers use simulation or test rig data due to a lack of actual wind turbine measurements however, this data may not necessarily reflect processes happening in the real turbine application. In order to determine different patterns of machinery deterioration, precise data of existing parameters at higher sampling frequencies up to 20 kHz is needed. Additional parameters, not currently commonly monitored, like turbine vibration or tower movement, are also desired. In this paper the design of a data acquisition (DAQ) platform to be mounted on a 660 kW Vestas V47 wind turbine is presented. The requirements and limitations of the data acquisition application are discussed. A detailed explanation of the data acquisition program developed in LabVIEW as well as the possibilities for remotely controlling this process are given. Finally, different methodologies for handling, storing and accessing large volumes of data are presented with the authors' optimal solution highlighted.

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Swiszcz G, Cruden AJ, Booth CD, Leithead WE. A data acquisition platform for the development of a wind turbine condition monitoring system. In International Conference on Condition Monitoring and Diagnosis 2008. IEEE. 2008. p. 1358-1361 https://doi.org/10.1109/CMD.2008.4580521