Condition Monitoring of Wind Turbine Gearbox Bearing Based on Deep Learning Model
Abstract
Wind turbines condition monitoring and fault warning have important practical value for wind farms to reduce maintenance costs and improve operation levels. Due to the increase in the number of wind farms and turbines, the amount of data of wind turbines have increased dramatically. This problem has caused a need for efficiency and accuracy in monitoring the operating condition of the turbine. In this paper, the idea of deep learning is...
Paper Details
Title
Condition Monitoring of Wind Turbine Gearbox Bearing Based on Deep Learning Model
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
57078 - 57087
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History