Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach

Zhang, G; Zappalá, D.; Crabtree, C.; Donaghy-Spargo, C.; Hogg, S.; Duffy, A.

Abstract

In-service turbine monitoring is essential for maximizing the wind energy contribution to the global energy budget. Measurement of turbine shaft torque under transient wind conditions is fundamental to develop reliable condition monitoring techniques. Contact based measurements bring their own disadvantages and non-contactless measurements have many potential advantages. However, their performance needs to be validated against standard methods. This paper focuses on the development of an enhanced transient Feature Selective Validation (FSV) techniques to undertake this analysis with an emphasis on transient data processing. The nature of FSV makes it a natural technique to consider for this problem space. Open questions have existed as to how transients should be dealt with in FSV. This paper overcomes the limitations of previous approaches for step-function transient comparison and presents analytical methods to ensure the transient feature itself is considered, irrespective of how much pre- and post- transient data happens to be included.

Citation

Zhang, G., Zappalá, D., Crabtree, C., Donaghy-Spargo, C., Hogg, S., & Duffy, A. (2020). Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach. Measurement, 151, Article 107261. https://doi.org/10.1016/j.measurement.2019.107261

• Journal Article Type: Article
• Acceptance Date: Nov 7, 2019
• Online Publication Date: Nov 11, 2019
• Publication Date: Feb 28, 2020
• Deposit Date: Nov 8, 2019
• Publicly Available Date: Dec 5, 2019
• Journal: Measurement.
• Print ISSN: 0263-2241
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 151
• Article Number: 107261
• DOI: https://doi.org/10.1016/j.measurement.2019.107261
• Public URL: https://durham-repository.worktribe.com/output/1278101