![]() | 163 |
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 Diagnosis of Components and Sensors in HVAC Air Handling Systems with New Types of Faults
点击次数:
所属单位:University of Connecticut
发表刊物:IEEE Access
项目来源:National Science Foundation under Grant CCF-1331850
关键字:Fault diagnosis, HVAC air handling system, online learning algorithm, hidden Markov model, new fault
摘要:Air handling systems are key sub-systems of Heating Ventilation and Air Conditioning (HVAC) systems. They condition and deliver air to satisfy human thermal comfort requirements and provide acceptable indoor air quality. Faults in their components and sensors may lead to high-energy consumption, poor thermal comfort and unacceptable indoor air quality. Additionally, new types of faults may falsely be identified as known types. Identifying failure modes and their severities with low false identification rates is thus critical to know what faults occur and how severe they are. However, this
全部作者:Peter B. Luh,Krishnna R. Pattipati
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:6
页面范围:21682–21696
ISSN号:2169-3536
是否译文:否
发表时间:2018-05-07
收录刊物:SCI