Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models-Reference-Cited by-同舟云学术

Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models

Published:2023-09-04 Issue:4 Volume:45 Page:10789-10801
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Jaikrishna M. Arjun¹,S Naveen Venkatesh¹^ORCID,V Sugumaran¹^ORCID,Dhanraj Joshuva Arockia²^ORCID,Velmurugan Karthikeyan³,Sirisamphanwong Chatchai³,Ngoenmeesri Rattaporn⁴,Sirisamphanwong Chattariya⁵

Affiliation:

1. School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, India

2. Centre for Automation and Robotics (ANRO), Department of Mechatronics Engineering, Hindustan Institute of Technology and Science, Padur, Chennai, India

3. Smart Energy System Integration Research Unit (Se-SIL), Department of Physics, Faculty of Science, Naresuan University, Phitsanulok, Thailand

4. Research and Academic Service, Faculty of Science, Naresuan University, Phitsanulok, Thailand

5. Department of Physics and General Science, Faculty of Science, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2023.2246400

Reference37 articles.

1. Issues and challenges of wind energy

2. Aspects of structural health and condition monitoring of offshore wind turbines

3. Feasibility study of wind turbine system integrated with insulated Greenhouse: Case study in Tunisia

4. Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning

5. Review of performance optimization techniques applied to wind turbines

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