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The detection of wind turbine shaft misalignment using temperature monitoring

  • Published:2017-05 Issue: Volume:17 Page:71-79
  • ISSN:1755-5817
  • Container-title:CIRP Journal of Manufacturing Science and Technology
  • language:en
  • Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Tonks Oliver,Wang QingORCID

Funder

UK Engineering and Physical Sciences Research Council (EPSRC) Centre

EPSRC Impact Acceleration Award

Royal Academy of Engineering Newton Research Collaboration Programme

Royal Society–National Natural Sciences Foundation of China International Exchanges Award

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference37 articles.

1. Reliability Analysis and Prediction of Wind Turbine Gearboxes;Smolders,2010

2. UK Wind Energy Database,2014

3. A Direct Drive to Sustainable Wind Energy;Tan,2010

4. The Effect of Environmental Parameters on Wind Turbine Reliability;Wilkinson,2012

5. Assessing Wind Farm Reliability Using Weather Dependent Failure Rates;Wilson;Journal of Physics,2014

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2. A real-time shaft alignment monitoring method adapting to ship hull deformation for marine propulsion system;Mechanical Systems and Signal Processing;2023-08

3. Enhanced motor fault detection system based on a dual-signature image classification method using CNN;Engineering Research Express;2023-01-19

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5. Misalignment Detection of Rotating Machine Shaft Using Artificial Neural Network and t-Distributed Stochastic Neighbor Embedding Classification Technique;Journal of Control, Automation and Electrical Systems;2022-12-12
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