Soft Shared Multi-Task Convolutional Network Based on the Attention Mechanism-Reference-Cited by-同舟云学术

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Soft Shared Multi-Task Convolutional Network Based on the Attention Mechanism

Published:2023-11-10 Issue: Volume: Page:1360-1365
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
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Author:

Wang Nan¹,Sun Liang¹,Tian Changmin²,Dong Fenglian¹,Hu Xuan³

Affiliation:

1. CNPC PetroChina Planning and Engineering Institute,Key Laboratory of Oil & Gas Business Chain Optimization,Beijing,China

2. PetroChina Dalian Petrochemical Company,Dalian,China

3. Beijing University of Chemical Technology Engineering Research Center of Intelligent PSE, Ministry of Education in China,College of Information Science and Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528591.pdf?arnumber=10528591

Reference16 articles.

1. Investigation Techniques for Rolling Bearing Fault Diagnosis Using Machine Learning Algorithms

2. Investigation on Rolling Bearing Remaining Useful Life Prediction: A Review

3. A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering

4. Bearing fault diagnosis with cascaded space projection and a CNN

5. Fault diagnosis of bearings based on deep separable convolutional neural network and spatial dropout

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