Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method

Energy and Buildings

Volumn 54, Issue , 2012, Pages 252-258

  Hu, Yunpeng ^a   Chen, Huanxin ^a   Xie, Junlong ^a   Yang, Xiaoshuang ^a   Zhou, Cheng ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Chiller; Detection efficiency; Principal Component Analysis; Self adaptive; Sensor fault

Indexed keywords

CHILLER; CHILLER SYSTEM; DATA SETS; DETECTION EFFICIENCY; FAULT LEVELS; LOW SENSITIVITY; OPERATIONAL DATA; PCA MODEL; PRINCIPAL COMPONENT ANALYSIS METHOD; RESIDUAL SUBSPACES; SELF-ADAPTIVE; SENSOR FAULT; SENSOR FAULT DETECTION;

COOLING SYSTEMS; EFFICIENCY; FAULT DETECTION; SENSORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84865552225     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2012.07.014     Document Type: Article

References (19)

1. M.C. Comstock, J.E. Braun, and E.A. Groll A survey of common faults for chillers ASHRAE Transactions 108 2002 819 825
2. S.W. Wang, and F. Xiao AHU sensor fault diagnosis using principal component analysis method Energy and Buildings 36 2004 147 160
3. S. Katipamula, and M.R. Brambley Methods for fault detection, diagnostics, and prognostics for building systems - a review, Part I HVAC&R Research 11 2005 3 25
4. J. Liang, and R. Du Model-based fault detection and diagnosis of HVAC systems using support vector machine method International Journal of Refrigeration 30 2007 1104 1114
5. S. Wu, and J.Q. Sun A top-down strategy with temporal and spatial partition for fault detection and diagnosis of building HVAC systems Energy and Buildings 43 2011 2134 2139
6. T.I. Salsbury, and R.C. Diamond Fault detection in HVAC systems using model-based feedforward control Energy and Buildings 33 2001 403 415
7. S.W. Wang, and J.T. Cui A robust fault detection and diagnosis strategy for centrifugal chillers HVAC&R Research Journal 12 2006 407 428
8. X.H. Xu, F. Xiao, and S.W. Wang Enhanced chiller sensor fault detection, diagnosis and estimation using wavelet analysis and principal component analysis methods Applied Thermal Engineering 28 2008 226 237
9. Y.M. Chen Flow meter fault isolation in building central chilling systems using wavelet analysis Energy Conversion and Management 47 2006 1700 1710
10. Z.J. Hou Data mining based sensor fault diagnosis and validation for building air conditioning system Energy Conversion and Management 47 2006 2479 2490
11. B. Fan A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis Building and Environment 45 2010 2698 2708
12. Y. Zhu, X. Jin, and Z. Du Fault diagnosis for sensors in air handling unit based on neural network pre-processed by wavelet and fractal Energy and Buildings 44 2012 7 16
13. H. Han Important sensors for chiller fault detection and diagnosis (FDD) from the perspective of feature selection and machine learning International Journal of Refrigeration 34 2011 586 599
14. S.W. Wang, and J.T. Cui Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method Applied Energy 82 2005 197 213
15. S.W. Wang, and Y.M. Chen Sensor validation and reconstruction for building central chilling systems based on principal component analysis Energy Conversion and Management 45 2004 673 695
16. S.W. Wang, and F. Xiao Detection and diagnosis of AHU sensor faults using principal component analysis method Energy Conversion and Management 45 2004 2667 2686
17. S.W. Wang, Q. Zhou, and F. Xiao A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults Energy and Buildings 42 2010 477 490
18. Z.M. Du, and X.Q. Jin Detection and diagnosis for multiple faults in VAV systems Energy and Buildings 39 2007 923 934
19. J.E. Jackson A User's Guide To Principal Components 1st ed. 1991 John Wiley & Sons, Inc. New York