Study of Fuel Pump Failure Prognostic Based on Machine Learning Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Study of Fuel Pump Failure Prognostic Based on Machine Learning Using Artificial Neural Network

Published:2019-09-30 Issue:9 Volume:18 Page:52-57
ISSN:1598-6721
Container-title:The Korean Society of Manufacturing Process Engineers
language:
Short-container-title:KSMPE

Author:

Choi Hong, ,Kim Tae-Kyung,Heo Gyeong-Rin,Sung-Dae Choi,Hur Jang-Wook

Funder

Kumoh National Institute of Technology

Publisher

The Korean Society of Manufacturing Process Engineers

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. Load Recognition by Long Short-Term Memory considering Long and Short Term Operation of Mechanical Equipment;Journal of the Korean Society of Manufacturing Process Engineers;2024-02-29

2. Development of an LCD 3D Printer Process Parameter Recommendation System by Machine Learning;Journal of the Korean Society of Manufacturing Technology Engineers;2023-04-15

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