Validating BMS sensors for chiller condition monitoring

被引:0
|
作者
Wang, SW [1 ]
Wang, JB [1 ]
Burnett, J [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China
关键词
chiller monitoring; diagnosis; evaluation; fault detection; sensor;
D O I
10.1191/014233101681274142
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A method based on energy balance is developed for diagnosing and validating the health states of the building management system (BMS) sensors (faults and biases) for monitoring chiller condition. A normalized energy balance residual is defined and used as the indices for fault detection. A characteristic quantity is derived for diagnosing flow meter faults without needing to know the temperature sensor biases. A robust algorithm is developed for estimating the magnitude of the flow meter biases. The sensor fault validation method, verification of the method using dynamic simulation programs and application to an existing chilling plant are presented.
引用
收藏
页码:201 / 225
页数:25
相关论文
共 50 条
  • [41] Condition Monitoring and Diagnosis of Steam Traps with Wireless Smart Sensors
    Faria, Joana R. C.
    Semedo, Sonia M., V
    Cardoso, Francisco J. A.
    Oliveira, Jose
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2014, 7 (05):
  • [42] Validating Differential Dermal Potentials for Use in Real-Time Human Condition Monitoring
    Sarkar, Arindam
    Goswami, Bhaswati
    Ghosh, Ratna
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [43] A Novel Chiller Sensors Fault Diagnosis Method Based on Virtual Sensors
    Gao, Long
    Li, Donghui
    Li, Ding
    Yao, Lele
    Liang, Lim Ei
    Gao, Yanan
    SENSORS, 2019, 19 (13)
  • [44] Effect of various parameters on working condition of chiller
    Kumbhar, Anil
    Gulhane, Nitin
    Pandure, Sachin
    INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENT IN AIR CONDITIONING AND REFRIGERATION, RAAR 2016, 2017, 109 : 479 - 486
  • [45] Integration of Sensors for Enhanced Condition Monitoring in Polymer Gears: A Comparative Study of Acceleration and Temperature Sensors
    Hasenoehrl, Sascha
    Peters, Julian
    Matthiesen, Sven
    APPLIED SCIENCES-BASEL, 2024, 14 (06):
  • [46] Tool Condition Monitoring in Microturning of Aluminium Alloy using Multiple Sensors
    Gopikrishnan, A.
    Kanthababu, M.
    Balasubramaniam, R.
    Ranjan, Prabhat
    DYNAMICS OF MACHINES AND MECHANISMS, INDUSTRIAL RESEARCH, 2014, 592-594 : 796 - +
  • [47] Tool Wear Condition Monitoring in Milling Process Based on Current Sensors
    Zhou, Yuqing
    Sun, Weifang
    IEEE ACCESS, 2020, 8 (08): : 95491 - 95502
  • [48] Real-Time System Condition Monitoring using Wireless Sensors
    Kwan, C.
    Ayhan, B.
    Yin, J.
    Liu, X.
    Ballal, P.
    Athamneh, A.
    Ramani, A.
    Lee, W.
    Lewis, F.
    2009 IEEE AEROSPACE CONFERENCE, VOLS 1-7, 2009, : 3777 - +
  • [49] Harvesting Energy from Magnetic Fields to Power Condition Monitoring Sensors
    Roscoe, Nina M.
    Judd, Martin D.
    IEEE SENSORS JOURNAL, 2013, 13 (06) : 2263 - 2270
  • [50] Condition Monitoring Model for Sensors of Reactor Coolant Pump Based on PCA
    Zhu S.
    Xia H.
    Peng B.
    Wang Y.
    Wang Z.
    Zhang J.
    Jiang Y.
    Hedongli Gongcheng/Nuclear Power Engineering, 2020, 41 (03): : 170 - 176