Side‐band algorithm for automatic wind turbine gearbox fault detection and diagnosis-Reference-Cited by-同舟云学术

Side‐band algorithm for automatic wind turbine gearbox fault detection and diagnosis

Published:2014-05 Issue:4 Volume:8 Page:380-389
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Zappalá Donatella¹,Tavner Peter J.¹,Crabtree Christopher J.¹,Sheng Shuangwen²

Affiliation:

1. School of Engineering and Computing SciencesDurham UniversityDurhamDH1 3LEUK

2. National Wind Technology CenterNational Renewable Energy Laboratory (NREL)GoldenColorado80401USA

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.2013.0177

Reference26 articles.

1. EWEA: ‘Wind Energy Statistics & Targets’. European Wind Energy Association Report 2013 available athttp://www.ewea.org/fileadmin/files/library/publications/statistics/Factsheets.pdf last accessed 23 April 2013

2. Quantification of Condition Monitoring Benefit for Offshore Wind Turbines

3. Walford C.A.: ‘Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs’. Sandia National Laboratories Report SAND2006–1100 March 2006 available athttp://prod.sandia.gov/techlib/access‐control.cgi/2006/061100.pdf last accessed 20 April 2013

4. Assessment of condition monitoring techniques for offshore wind farms;Wiggelinkhuizen E.;Trans. ASME, J. Sol. Energy Eng.,2008

5. Condition monitoring and prognosis of utility scale wind turbines;Hyers R.W.;Energy Mater., Mater. Sci. Eng. Energy Syst.,2006

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