Data‐driven technique for interpreting wind turbine condition monitoring signals-Reference-Cited by-同舟云学术

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Data‐driven technique for interpreting wind turbine condition monitoring signals

Published:2014-03 Issue:2 Volume:8 Page:151-159
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Yang Wenxian¹,Little Christian²,Tavner Peter J.³,Court Richard²

Affiliation:

1. School of Marine Science and TechnologyNewcastle UniversityNewcastle‐upon‐TyneNE1 7RUUK

2. National Renewable Energy CentreOffshore House, Albert StreetBlythNE24 3LZUK

3. School of Engineering and Computing SciencesThe University of DurhamDurhamDH1 3LEUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2013.0058

Reference30 articles.

1. Global Wind Energy Council (GWEC): ‘Global Wind Statistics 2012’ February 2013

2. A brief status on condition monitoring and fault diagnosis in wind energy conversion systems

3. Condition monitoring and fault detection of wind turbines and related algorithms: A review

4. Monitoring wind turbine gearboxes

5. Wind Turbine Generator Condition-Monitoring Using Temperature Trend Analysis

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1. Modeling and Measurement Study for Wind Turbine Blade Trailing Edge Cracking Acoustical Detection;IEEE Access;2020

2. A Novel Data Driven Voltage Control Approach for Grid Connected Wind Power Plants;IEEE Transactions on Industry Applications;2019-07

3. Long Term Temperature Data Analysis for Damage Detection in Electric Motor Bearings with Density Modeling and Bhattacharyya Distance;Applied Condition Monitoring;2019

4. An experimental study on the fault diagnosis of wind turbines through a condition monitoring system;Journal of Mechanical Science and Technology;2018-12

5. An Effective Approach for Rotor Electrical Asymmetry Detection in Wind Turbine DFIGs;IEEE Transactions on Industrial Electronics;2018-11

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