An air filtration performance prediction method of gas turbine based on Dynamic Neural Network-Reference-Cited by-同舟云学术

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An air filtration performance prediction method of gas turbine based on Dynamic Neural Network

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)
language:
Short-container-title:

Author:

Hao Yansong¹,Liu Chao¹,Hao Jiangang²,Huang Haizhou²,Deng Gaofeng³,Jiang Dongxiang¹

Affiliation:

1. Tsinghua University,Department of Energy and Power Engineering,Beijing,China

2. HuaDian Electric Power Research Institute Co., Ltd.,Hangzhou,China

3. China Academy of Building Research,State Key Laboratory of Building Safety and Environment,Beijing,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741750/9741857/09741979.pdf?arnumber=9741979

Reference15 articles.

1. Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

2. A novel integrated modeling approach for filter diagnosis in gas turbine air intake system

3. A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

4. LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems

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