Improved RUL prediction method of wind turbine gearbox bearings under strong noises-Reference-Cited by-同舟云学术

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Improved RUL prediction method of wind turbine gearbox bearings under strong noises

Published:2024-06-07 Issue: Volume: Page:693-697
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
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Author:

Xiang Sheng¹,Li Penghua¹,Hou Jie¹,Ilolov Mamadsho²,Wang Jiwei³,Huang Deqi³,Xie Lirong³

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Automation& Key Laboratory of Intelligent Computing for Big Data,Chongqing,China

2. National Academy of Sciences of Tajikistan,Center for Innovative Development of Science and New Technologies,Dushanbe,Tajikistan

3. Xinjiang University,School of Electrical Engineering,Urumqi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598651.pdf?arnumber=10598651

Reference26 articles.

1. Fault Prognosis and Remaining Useful Life Prediction of Wind Turbine Gearboxes Using Current Signal Analysis

2. Micro Transfer Learning Mechanism for Cross-Domain Equipment RUL Prediction

3. Multi-bearing remaining useful life collaborative prediction: A deep learning approach

4. Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

5. A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

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