ECLSTM: An Efficient Channel Attention-based Spatio-temporal Fusion Method for Fault Detection of Instruments-Reference-Cited by-同舟云学术

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ECLSTM: An Efficient Channel Attention-based Spatio-temporal Fusion Method for Fault Detection of Instruments

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Dou Shangkai¹,Fan Zhihong¹,Yang Yunjie¹,Qin Jun¹,Li Li²,Han Yan³

Affiliation:

1. PetroChina Southwest Oil & Gasfield Company,Chengdu,China,610051

2. Chongqing University of Posts and Telecommunications,School of Automation,Chongqing,China,400065

3. Chongqing University of Posts and Telecommunications,Institute of Industrial Internet,Chongqing,China,401120

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090478/10090479/10090740.pdf?arnumber=10090740

Reference17 articles.

1. Research on High-Frequency Information-Transmission Method of Smart Grid Based on CNN-LSTM Model

2. A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion

3. Data mining model adjustment control charts for cascade processes

4. Dual Co-Attention-Based Multi-Feature Fusion Method for Rumor Detection

5. Facial Expression Recognition Based on Random Forest and Convolutional Neural Network

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