Learning deep representation of imbalanced SCADA data for fault detection of wind turbines-Reference-Cited by-同舟云学术

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Learning deep representation of imbalanced SCADA data for fault detection of wind turbines

Published:2019-06 Issue: Volume:139 Page:370-379
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Chen Longting^ORCID,Xu Guanghua,Zhang Qing,Zhang Xun

Funder

Provincial Key Research Project of Shaanxi

Ministry of Industry and Information Technology of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference35 articles.

1. The prediction and diagnosis of wind turbine faults;Kusiak;Renew. Energy,2011

2. J. Maatuk, Microprocessor-based liquid sensor and ice detector, in, Google Patents, 1999.

3. Ice detection using thermal infrared radiometry on wind turbine blades;Muñoz;Measurement,2016

4. Ice sensors for wind turbines;Homola;Cold Reg. Sci. Technol.,2006

5. Online wind turbine fault detection through automated SCADA data analysis;Zaher;Wind Energy,2009

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