A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW-Reference-Cited by-同舟云学术

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A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW

Published:2017-10 Issue: Volume:109 Page:242-246
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ren He,Liu Wenyi,Jiang Yonghua,Su Xiuping

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Natural Science Foundation of the Jiangsu Higher Education Institutions

Education Project of Jiangsu Normal University

Publisher

Elsevier BV

Subject

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

Reference23 articles.

1. The structure healthy condition monitoring and fault diagnosis methods in wind turbines: a review;Liu;Renew. Sustain. Energy Rev.,2015

2. A preliminary energy and environmental assessment of a micro wind turbine prototype in natural protected areas;de Santoli;Sustain. Energy Technol. Assessments,2014

3. A novel wind turbine bearing fault diagnosis method based on Integral Extension LMD;Liu;Measurement,2015

4. Development of a low cost test rig for standalone WECS subject to electrical faults;Himani;ISA Trans.,2016

5. Damage detection of TLP and Spar floating wind turbine using dynamic response of the structure;Jamalkia;Ocean Eng.,2016

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