Diesel Engine Fault Detection using Deep Learning Based on LSTM-Reference-Cited by-同舟云学术

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Diesel Engine Fault Detection using Deep Learning Based on LSTM

Published:2023-12-13 Issue: Volume:10 Page:37-42
ISSN:
Container-title:2023 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)
language:
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Author:

Naryanto Rizqi Fitri¹,Delimayanti Mera Kartika¹,Naryaningsih Agustien²,Warsuta Bambang³,Adi Rizky³,Setiawan Bima Aji¹

Affiliation:

1. Universitas Negeri Semarang,Faculty of Engineering,Department of Mechanical Engineering,Indonesia

2. National Research and Innovation Agency,Fisheries Reseach Center

3. Politeknik Negeri Jakarta,Department of Computer and Informatics Engineering,Indonesia

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10443090/10443079/10443110.pdf?arnumber=10443110

Reference17 articles.

1. Research on Diesel Engine Fault Diagnosis Method Based on Stacked Sparse Autoencoder and Support Vector Machine

2. Application of Machine Learning in Diesel Engines Fault Identification

3. Diesel Engine Fault Diagnosis Method Based on Optimized VMD and Improved CNN

4. Bearing Defect Classification based on Individual Wavelet Local Fisher Discriminant Analysis with Particle Swarm Optimization

5. Research advances in fault diagnosis and prognostic based on deep learning

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