A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning-Reference-Cited by-同舟云学术

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A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning

Published:2019-12 Issue: Volume:148 Page:106906
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ren He,Liu Wenyi,Shan Mengchen,Wang Xin

Funder

National Natural Science Foundation of China

the 333 Project of Jiangsu Province

Qing Lan Project of Jiangsu Province

Postgraduate Research & Practice Innovation Program of Jiangsu normal university

Publisher

Elsevier BV

Subject

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

Reference22 articles.

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

2. A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW;Ren;Measurement,2017

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

4. A novel wind turbine fault diagnosis method based on integral extension load mean decomposition multiscale entropy and least squares support vector machine;Gao;Renewable Energy,2018

5. Domain class consistency based transfer learning for image classification across domains;Zhang;Inf. Sci.,2017

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