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个人信息Personal Information
讲师(高校)
教师英文名称:Ian
教师拼音名称:yanying
电子邮箱: 003169@nuist.edu.cn
所在单位:自动化学院
学历:博士研究生毕业
办公地点:学科楼3号楼N505
性别:男
联系方式:手机: 15205176357; 微信: 15205176357
职称:讲师(高校)
主要任职:电气工程及其自动化系副系主任;学院外事秘书;江苏省气象能源利用与控制工程技术研究中心秘书
毕业院校:康涅狄格大学
学科:控制理论与控制工程
Fault detection of cooling coils based on unscented Kalman filters and statistical process control
点击次数:
所属单位:University of Connecticut
发表刊物:in Proceedings of 2013 IEEE Conference on Automation Science and Engineering
项目来源:Innovations in Emerging Frontiers of School of Engineering of University of Connecticut
关键字:HVAC, fault detection, SPC, unscented Kalman filter, model error
摘要:Buildings account for about 40% of energy
consumption in the U.S. The Heating, Ventilation and Air
Conditioning (HVAC) systems account for 57% of energy used
in commercial and residential buildings in the U.S., and between
4% and 20% of HVAC energy is wasted because of sudden faults
and component degradation. To reduce energy consumption and
improve occupancy comfort, HVAC fault detecting is important.
In our recent work, a synergistic integration of Kalman Filter
and Statistical Process Control (SPC) was used for fault
detection of chillers based on a gray-box model. This paper
builds on that
全部作者:Biao Sun,Peter B. Luh
第一作者:Ying Yan
论文类型:期刊论文
学科门类:工学
一级学科:控制科学与工程
文献类型:C
是否译文:否
发表时间:2013-05-07
收录刊物:SCI