Developing a model for prediction of the combustion performance and emissions of a turboprop engine using the long short-term memory method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Developing a model for prediction of the combustion performance and emissions of a turboprop engine using the long short-term memory method

Published:2021-10 Issue: Volume:302 Page:121202
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Kayaalp Kiyas^ORCID,Metlek Sedat^ORCID,Ekici Selcuk^ORCID,Şöhret Yasin^ORCID

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference54 articles.

1. Civil Aviation General Directorate Activity Report. Ankara: 2019.

2. Global warming potential optimization of a turbofan powered unmanned aerial vehicle during surveillance mission;Dinc;Transp Res Part D Transp Environ,2020

3. NOx emissions of turbofan powered unmanned aerial vehicle for complete flight cycle;Dinc;Chin J Aeronaut,2020

4. Aircraft engines and gas turbines;Kerrebrock,1992

5. Elements of propulsion: gas turbines and rockets;Mattingly;Am Inst Aeronaut Astronaut,2006

Cited by 23 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. Research on gas turbine health assessment method based on physical prior knowledge and spatial-temporal graph neural network;Applied Energy;2024-08

2. Control-Oriented System Identification of Turbojet Dynamics;Aerospace;2024-08-01

3. Short-Term Multistep Prediction of Process Industry Product Quality With CNN-BiLSTM Network Based on Parallel Attention Mechanisms;IEEE Sensors Journal;2024-08-01

4. Remaining Useful Life Prediction of Aero-Engine Based on KSFA-GMM-BID-Improved Autoformer;Electronics;2024-07-12

5. Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review;Archives of Computational Methods in Engineering;2024-04-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3