Soft measurement and prediction of refrigerant leakage based on SVR-LSTM-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Soft measurement and prediction of refrigerant leakage based on SVR-LSTM

Published:2023-08 Issue: Volume:152 Page:303-314
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Yang Yuting,Xu Ling,Han Hua,Ren Zhengxiong,Wu Kongrui,Liu Feitian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference40 articles.

1. Virtual refrigerant charge sensor for booster refrigeration systems;Andreasen;Int. J. Refrig.,2021

2. Quantifying colocalization by correlation: the pearson correlation coefficient is superior to the Mander's overlap coefficient;Adler;Cytometry Part A,2010

3. Supermarket system characteristics and operating faults (RP-1615);Behfar;HVACR Res.,2018

4. Emissions and environmental impacts from air-conditioning and refrigeration systems;Calm;Int. J. Refrig.,2002

5. Introduction to Grey system theory;Deng;J. Grey Syst,1989

Cited by 7 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. The impact of refrigerant leakage on the dynamic operating performance of R600a refrigerator systems;Applied Thermal Engineering;2024-12

2. Efficient prediction for Blast Furnace Gas holder level using novel preprocessing techniques and weight correction strategy;Engineering Applications of Artificial Intelligence;2024-12

3. One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory;Expert Systems with Applications;2024-10

4. Research on the lubricating oil leakage characteristics in the vapor compression heat pump system under refrigerant leaking;International Journal of Refrigeration;2024-10

5. Interpretable data-driven fault diagnosis method for data centers with composite air conditioning system;Building Simulation;2024-05-18

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