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January-2022
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
ISSN: 2349-5162 | ESTD Year : 2014 Call for Paper
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2201042
Registration ID:
317477
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Title
Damage Detection Method for Wind Turbine Blades Based on Vibration Signals
Authors
Abstract
: The aim of this paper is to use the vibration based analysis to detect the transverse crack location and depth in wind turbine blades. The actual data for training neural network is obtained using finite element method via ANSYS software for different crack locations and depth. This data is validated using experimental data from literature. The test results show that the proposed neural networks are able to predict the crack specifications accurately.
Key Words
wind turbine blade, neural network, crack, natural frequency, beam.
Cite This Article
"Damage Detection Method for Wind Turbine Blades Based on Vibration Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.a318-a325, January-2022, Available :http://www.jetir.org/papers/JETIR2201042.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Damage Detection Method for Wind Turbine Blades Based on Vibration Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppa318-a325, January-2022, Available at : http://www.jetir.org/papers/JETIR2201042.pdf
Publication Details
Published Paper ID: JETIR2201042
Registration ID: 317477
Published In: Volume 9 | Issue 1 | Year January-2022
Page No: a318-a325
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2201042
Published Paper PDF: https://www.jetir.org/papers/JETIR2201042
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