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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

论文成果

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Fault Prognosis of HVAC Air Handling Unit and Its Components Using Hidden-semi Markov Model and Statistical Process Control

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影响因子:7.201

DOI码:10.1016/j.enbuild.2021.110875

所属单位:Nanjing University of Information Science and Technology

发表刊物:Energy and Buildings

项目来源:National Natural Science Foundation of China under Grant 52077105, 51607095 and 61873174

关键字:Air handling unit, remaining useful life, fault prognosis, statistical process control, HSMM

摘要:Air handling units are key sub-systems of heating, ventilation and air conditioning systems, which are used to condition air to satisfy human comfort requirements.  Fault prognosis allows maintenance crews to identify the Remaining Useful Life (RUL) of a system, thus unexpected breakdowns are avoided, leading to a decrease in maintenance costs.  To estimate RULs, a Hidden Semi-Markov Model (HSMM)-based method is proposed.  To estimate states of HSMMs accurately, a revised scaled method is developed to guarantee that state estimates do not approximate to infinity.  Additionally, a new discrete

全部作者:Jun Cai,Tao Li,Wan Zhang,Liangliang Zhang

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:J

卷号:240

期号:4

ISSN号:0378-7788

是否译文:

发表时间:2021-04-07

收录刊物:SCI

发布刊物链接:https://doi.org/10.1016/j.enbuild.2021.110875