Proximal Support Vector Machine (PSVM) Based Imbalance Fault Diagnosis of Wind Turbine Using Generator Current Signals-Reference-Cited by-同舟云学术

Proximal Support Vector Machine (PSVM) Based Imbalance Fault Diagnosis of Wind Turbine Using Generator Current Signals

Published:2016-12 Issue: Volume:90 Page:593-603
ISSN:1876-6102
Container-title:Energy Procedia
language:en
Short-container-title:Energy Procedia

Author:

Malik Hasmat,Mishra Sukumar

Publisher

Elsevier BV

Reference19 articles.

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2. J. Ribrant. Reliability Performance and Maintenance – A survey of Failures in Wind Power Systems, Master's thesis, KTH School of Electrical Engineering, 2006.

3. S. A. Saleh and C. R. Moloney. Development and testing of wavelet packet transform-based detector for ice accretion on wind turbines, in Proc. IEEE Digital Signal Process. Workshop IEEE Signal Process. Education Workshop, 2011. p. 72-77.

4. J. M. Jonkman and M. L. Buhl. FAST User's Guide. Golden, CO: Natl. Renewable Energy Lab., NWTC Information Portal (TurbSim), 2005, https://nwtc.nrel.gov/FAST. Accessed 01-March-2015.

5. M. Zhao, D. Jiang, and S. Li. Research on fault mechanism of icing of wind turbine blades, in Proc. World Non-Grid-Connected Wind Power Energy Conf., 2009. p. 1-4.

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