Feature selection based on Bayesian network for chiller fault diagnosis from the perspective of field applications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Feature selection based on Bayesian network for chiller fault diagnosis from the perspective of field applications

Published:2018-01 Issue: Volume:129 Page:674-683
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Wang Zhanwei,Wang Zhiwei,Gu Xiaowei,He Suowei,Yan Zengfeng

Funder

“Twelfth Five-Year” National Science and Technology Support Programme

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference27 articles.

1. Chillers energy consumption, energy savings and emission analysis in an institutional buildings;Saidur;Energy,2011

2. Application of a generic evaluation methodology to assess four different chiller FDD methods (RP-1275);Reddy;HVAC&R Res.,2007

3. A model-based online fault detection and diagnosis strategy for centrifugal chiller systems;Cui;Int. J. Therm. Sci.,2005

4. A robust online fault detection and diagnosis strategy of centrifugal chiller systems for building energy efficiency;Tran;Energy Build.,2015

5. Decoupling features for fault detection and diagnosis on centrifugal chillers (1486-RP);Zhao;HVAC&R Res.,2011

Cited by 55 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. Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions;Frontiers in Psychiatry;2024-09-03

2. Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation;JMIR Mental Health;2024-07-04

3. Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine;ACS Omega;2024-06-19

4. Quantitative fault detection and diagnosis methods for vapour compression chillers: Exploring the potential for field-implementation;Renewable and Sustainable Energy Reviews;2024-06

5. AI in HVAC fault detection and diagnosis: A systematic review;Energy Reviews;2024-06

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