Fault Diagnosis for Photovoltaic Inverter based on Attention Recurrent Neural Network-Reference-Cited by-同舟云学术

Fault Diagnosis for Photovoltaic Inverter based on Attention Recurrent Neural Network

Published:2021-12-08 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Power System Technology (POWERCON)
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Author:

Fang Junren¹,Cheng Fanyong²,Meng Xianmeng¹

Affiliation:

1. Anhui Polytechnic University,Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, School of Electrical Engineering, Anhui Polytechnic University Anhui Key Laboratory of Electric Drive and Control, School of Electrical Engineering,Wuhu,China

2. Anhui Polytechnic University,Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, School of Electrical Engineering, Anhui Polytechnic University Anhui Key Laboratory of Detection Technology and Energy Saving Devices,Wuhu,China

Funder

Anhui Polytechnic University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697403/9697404/09697834.pdf?arnumber=9697834

Reference25 articles.

1. Fault diagnosis for photovoltaic array based on convolutional neural network and electrical time series graph

2. Sensor Fault Diagnosis of Autonomous Underwater Vehicle Based on LSTM

3. Incipient Inter-turn Fault Diagnosis in Induction motors using CNN and LSTM based Methods

4. Fault Diagnosis of Asynchronous Motors Based on LSTM Neural Network

5. A Novel Virtual Network Fault Diagnosis Method Based on Long Short-Term Memory Neural Networks

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