The Study of Failure Mode Data Development and Feature Parameter’s Reliability Verification Using LSTM Algorithm for 2-Stroke Low Speed Engine for Ship’s Propulsion-Reference-Cited by-同舟云学术

The Study of Failure Mode Data Development and Feature Parameter’s Reliability Verification Using LSTM Algorithm for 2-Stroke Low Speed Engine for Ship’s Propulsion

Published:2023-04-20 Issue:2 Volume:60 Page:95-109
ISSN:1225-1143
Container-title:Journal of the Society of Naval Architects of Korea
language:en
Short-container-title:SNAK

Author:

Park Jae-Cheul,Kwon Hyuk-Chan,Kim Chul-Hwan,Jang Hwa-Sup

Funder

Ministry of Trade, Industry and Energy

Korea Evaluation Institute of Industrial Technology

Publisher

The Society of Naval Architects of Korea

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference12 articles.

1. Bae, J.H, 2021. Fault detection of aircraft turbofan engine system using a fault detection filter. Institute of Korean Electrical and Electronics Engineers, 25(2), pp.330-336.

2. A survey on long short-term memory networks for time series prediction

3. Health Monitoring for Autonomous Underwater Vehicles Using Fault Tree Analysis

4. Failure Diagnosis and Prediction for a Thermal Power Plant Generator using fastICA

5. Feature Selection for Unmanned Surface Vehicle Fault Diagnosis Research and Experimental Verification

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