Computational analysis of performances for a hydrogen enriched compressed natural gas engine’ by advanced machine learning algorithms
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference49 articles.
1. Combustion Characteristics of a Direct-Injection Engine Fueled with Natural Gas−Hydrogen Mixtures;Huang;Energy Fuel,2006
2. Combustion characteristics of a direct-injection engine fueled with natural gas–hydrogen blends under different ignition timings;Huang;Fuel,2007
3. Effect of hydrogen addition on combustion, performance and emission of stoichiometric compressed natural gas fueled internal combustion engine along with exhaust gas recirculation at low, half and high load conditions;Rao;Fuel,2021
4. Multi-objective online optimization of a marine diesel engine using NSGA-II coupled with enhancing trained support vector machine;Niu;Appl Therm Eng,2018
5. Support vector machine to predict diesel engine performance and emission parameters fueled with nano-particles additive to diesel fuel;Ghanbari;IOP Conf Ser Mater Sci Eng,2015
Cited by 8 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. Optimizing heat transfer predictions in HCNG engines: A novel model validation and comparative study via quasi-dimensional combustion modeling and artificial neural networks;International Journal of Hydrogen Energy;2024-09
2. Performance, emissions and combustion analysis of hydrogen-enriched compressed natural gas spark ignition engine by optimized Gaussian process regression and neural network at low speed on different loads;Energy;2024-09
3. Comparative knock analysis of HCNG fueled spark ignition engine using different heat transfer models and prediction of knock intensity by artificial neural network fitting tool;Energy;2024-09
4. Fueling the future: Exploring the synergy of artificial intelligence-based algorithms and the use of biofuels in engine development;Journal of the Taiwan Institute of Chemical Engineers;2024-09
5. An experimental study of knock analysis of HCNG fueled SI engine by different methods and prediction of knock intensity by particle swarm optimization-support vector machine;Energy;2024-09
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