Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm-Reference-Cited by-同舟云学术

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Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm

Published:2024-07 Issue: Volume:26 Page:101164
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Nguyen Da Thao,Nguyen Thanh Phuong,Cho Ming-Yuan

Publisher

Elsevier BV

Reference69 articles.

1. Effects of low charge and environmental conditions on diesel generators operation;Issa;Eng,2020

2. Reliability of emergency and standby diesel generators: impact on energy resiliency solutions;Marqusee;Appl. Energy,2020

3. Smart operation of wind turbines and diesel generators according to economic criteria;Cecati;IEEE Trans. Ind. Electron.,2011

4. Deep learning based approach for bearing fault diagnosis;He;IEEE Trans. Ind. Appl.,2017

5. A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines;Jia;Neurocomputing,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology;2024 International Conference on System Science and Engineering (ICSSE);2024-06-26

2. Failure Classified Method for Diesel Generators Based Long Short-Term Memory Approach;2024 International Conference on System Science and Engineering (ICSSE);2024-06-26

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