A model-based online fault detection and diagnosis strategy for centrifugal chiller systems

International Journal of Thermal Sciences

Volumn 44, Issue 10, 2005, Pages 986-999

  Cui, Jingtan ^a   Wang, Shengwei ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Centrifugal chiller; Fault detection; Fault diagnosis; Model; Threshold

Indexed keywords

CLASSIFIERS; ELECTRIC FAULT CURRENTS; ERROR DETECTION; INDEXING (MATERIALS WORKING); MATHEMATICAL MODELS; SENSORS;

CENTRIFUGAL CHILLERS; FUALT DETECTION; FUALT DIAGNOSIS; REAL BUILDING CHILLER SYSTEMS;

CENTRIFUGES;

EID: 23444458437     PISSN: 12900729     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijthermalsci.2005.03.004     Document Type: Article

References (18)

1. M.C. Comstock, B. Chen, J.E. Braun, Literature review for application of fault detection and diagnostic methods to vapor compression cooling equipment, Ray W. Herrick Laboratories Report HL99-19, Report #4036-2, School of Mechanical Engineering, Purdue University, W. Lafayette, IN, 1999
2. T.A. Reddy, D. Niebur, J. Gordon, J. Seem, G. Cabrera, Y. Jia, K.K. Andersen, P. Pericolo, Development and comparison of on-line model training techniques for model-based FDD methods applied to vapor compression chillers: Evaluation of mathematical models and training techniques, Final Report, ASHRAE Research Project 1139, September, 2001
3. A. Dexter, J. Pakanen, Fault detection and diagnosis methods in real buildings. International Energy Agency, Energy Conservation in Buildings and Community Systems, Annex 34: Computer-aided evaluation of HVAC system performance, 2001
4. S.W. Wang, and J.B. Wang Law-based sensor fault diagnosis and validation for building air-conditioning systems Internat. J. HVAC&R Res. 5 1999 353 378
5. S.W. Wang, and J.B. Wang Automatic sensor evaluation in BMS commissioning of building refrigeration systems Automation in Construction 11 2002 59 73
6. S.W. Wang, and F. Xiao AHU sensor fault diagnosis using principal component analysis method Energy and Buildings 36 2004 147 160
7. P. Haves, Overview of diagnostic method, in: Proceedings of Diagnostics for Commercial Buildings: From Research to Practice, San Francisco, CA, 1999
8. J. Gertler Fault Detection and Diagnosis in Engineering Systems 1998 Marcel Dekker New York
9. T.M. Rossi, and J.E. Braun A statistical, rule-based fault detection and diagnostic method for vapor compression air conditioners Internat. J. Heating Ventilating Air Conditioning Refrigerating Res. 3 1997 19 37
10. M.B. Bailey, The design and viability of a probabilistic fault detection and diagnosis method for vapor compression cycle equipment, PhD thesis, School of Civil Engineering, University of Colorado, 1998
11. J. Gordon, and K.C. Ng Centrifugal chillers: thermodynamic modeling and a diagnostic case study Internat. J. Refrig. 18 1995 253 257
12. J.P. Bourdouxhe, M. Grodent, and J.J. Lebrun HVAC1 Toolkit: Algorithms and Subroutines for Primary HVAC System Energy Calculations 1997 The American Society of Heating, Refrigerating and Air Conditioning Engineers
13. I.B.D. Mclntosh, and J.W. Mitchell Fault detection and diagnosis in chillers - Part I: Model development and application ASHRAE Trans. 106 2000 268 282
14. Pacific Gas and Electric, CoolTools: A Toolkit to Optimize Chilled Water Plants, San Francisco, CA, 2001
15. M.P. Stylianou, and D. Nikanpour Performance monitoring, fault detection, and diagnosis of reciprocating chillers ASHRAE Trans. 102 1996 615 627
16. M.C. Comstock, J.E. Braun, Fault detection and diagnostic (FDD) requirements and evaluation tools for chillers, ASHRAE 1043-RP, Purdue University, 2002
17. J.E. Braun, Methodologies for the design and control of central cooling plant, PhD thesis, University of Wisconsin, Madison, 1988
18. D.C. Montgomery, and G.C. Runger Applied Statistics and Probability for Engineers 1994 Wiley New York