LAPSE:2023.8465
Published Article
LAPSE:2023.8465
Individuation of Wind Turbine Systematic Yaw Error through SCADA Data
February 24, 2023
Abstract
Much attention in the wind energy literature is devoted to condition monitoring [...]
Much attention in the wind energy literature is devoted to condition monitoring [...]
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Subject
Suggested Citation
Astolfi D, Pandit R, Gao L, Hong J. Individuation of Wind Turbine Systematic Yaw Error through SCADA Data. (2023). LAPSE:2023.8465
Author Affiliations
Astolfi D: Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
Pandit R: Centre for Life-Cycle Engineering and Management (CLEM), School of Aerospace Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK [ORCID]
Gao L: Department of Mechanical Engineering, University of Colorado, Denver, CO 80204, USA [ORCID]
Hong J: Mechanical Engineering & Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN 55455, USA
Pandit R: Centre for Life-Cycle Engineering and Management (CLEM), School of Aerospace Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK [ORCID]
Gao L: Department of Mechanical Engineering, University of Colorado, Denver, CO 80204, USA [ORCID]
Hong J: Mechanical Engineering & Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN 55455, USA
Journal Name
Energies
Volume
15
Issue
21
First Page
8165
Year
2022
Publication Date
2022-11-01
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15218165, Publication Type: Editorial
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Published Article
LAPSE:2023.8465
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https://doi.org/10.3390/en15218165
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[v1] (Original Submission)
Feb 24, 2023
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Feb 24, 2023
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