The detection of wind turbine shaft misalignment using temperature monitoring-Reference-Cited by-同舟云学术

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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 Qing^ORCID

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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1. Numerical detection of shaft misalignments using a sensor‐integrating jaw coupling;PAMM;2024-09-10

2. Magnetic Signature-Based Model Using Machine Learning for Electrical and Mechanical Faults Classification of Wind Turbine Drive Trains;2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2024-02-19

3. Misalignment Fault Detection in Rotor-Shaft Systems Under Varying Load Conditions Based on Kruskal-Wallis Test and Tukey's Honestly Significant Difference Test;2024

4. Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning;IEEE Transactions on Industry Applications;2023-09

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

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