Important sensors for chiller fault detection and diagnosis (FDD) from the perspective of feature selection and machine learning

International Journal of Refrigeration

Volumn 34, Issue 2, 2011, Pages 586-599

  Han, H ^a   Gu, B ^a   Wang, T ^a   Li, Z R ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

Chiller; Compression system; Detection; Fault; Genetic; Sensor

Indexed keywords

CHILLER; COMPRESSION SYSTEM; DETECTION; FAULT; GENETIC;

COOLING SYSTEMS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; GENETIC ALGORITHMS; IMAGE RETRIEVAL; MAINTENANCE; REFRIGERATION; SENSORS;

FAULT DETECTION;

EID: 79751533241     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2010.08.011     Document Type: Article

References (36)

1. S. Bendapudi, and J.E. Braun A Review of Literature on Dynamic Models of Vapor Compression Equipment HL 2002-9, Report #4036-5 2002 Ray Herrick Laboratories, Purdue University
2. A. Blum, and P. Langley Selection of relevant features and exampl (Pubitemid 127401106)
3. M.R. Brambley, R.G. Pratt, D.P. Chassin, and S. Katipamula Automated diagnostics for outdoor air ventilation and economizers ASHRAE J. 40 10 1998 49 55 (Pubitemid 128622299)
4. C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2 2 1998 1 47
5. C.C. Chang, and C.J. Lin LIBSVM: a library for support vector machines Software available at http://www.csie.ntu.edu.tw/∼cjlin/libsvm/ 2001
6. K. Choi, S.M. Namburu, M. Azam, J. Luo, K. Pattipati, and A. Patterson-Hine Fault diagnosis in HVAC chillers: adaptability of a data-driven fault detection and isolation approach IEEE Instrum. Meas. Mag. 8 3 2005 24 32
7. M.C. Comstock, and J.E. Braun Development of Analysis Tools for the Evaluation of Fault Detection and Diagnostics for Chillers HL 99-20, Report # 4036-3 1999 ASHRAE Research Project 1043
8. M.C. Comstock, and J.E. Braun Experimental Data from Fault Detection and Diagnostic Studies on a Centrifugal Chiller 1999 ASHRAE HL 99-18, Report # 4036-1Research Project 1043
9. N. Cristianini, and J.S. Taylor An Introduction to Support Vector Machines 2000 Cambridge University Press
10. S. Das Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection 2001 Proc. 8th Int. Conf. Mach. Learn. pp. 74-81
11. M. Dash, and H. Liu Feature selection for classifications Intell. Data Anal. Int. J. 1 1997 131 156
12. A. Dexter, and J. Pakanen International Energy Agency Building Demonstrating Automated Fault Detection and Diagnosis Methods in Real Buildings 2001 Technical Research Centre of Finland, Laboratory of Heating and Ventilation Espoo, Finland
13. T. Fawcett ROC Graphs: Notes and Practical Considerations for Researchers 2004 Kluwer Academic Publishers (Printed in the Netherlands)
14. C. Ghiaus Fault diagnosis of air-conditioning systems based on qualitative bond graph Energy and Buildings 30 1999 221 232 (Pubitemid 30509850)
15. A.S. Glass, P. Gruber, M. Roos, and J. Todtli Qualitative model based fault detection in air-handling units IEEE Control Syst. Mag. 15 4 1995 11 22
16. D.E. Goldberg Genetic Algorithms in Search, Optimization & Machine Learning 1989 Addison-Wesley
17. J.M. Gordon, K.C. Ng, and H.T. Chuan Centrifugal chillers: thermodynamic modeling and a diagnostic case study Int. J. Refrigeration 18 4 1995 253 257
18. H.T. Grimmelius, J.K. Woud, and G. Been On-line failure diagnosis for compression refrigeration plants Int. J. Refrigeration 18 1 1995 31 41
19. H. Han, Z.K. Cao, B. Gu, and N. Ren PCA-SVM-Based automated fault detection and diagnosis (afdd) for vapor-compression refrigeration systems HVAC&R Research 16 3 2010 295 313
20. C.W. Hsu, and C.J. Lin A comparison of methods for multi-class support vector machines IEEE Trans. Neural Netw. 13 2002 415 425
21. C.W. Hsu, C.C. Chang, and C.J. Lin A Practical Guide to Support Vector Classification. Technical Reports 2004 Department of Computer Science and Information Engineering, National Taiwan University Available at http://www.csie.ntu.edu.tw/∼cjlin/papers/guide/guide.pdf
22. S. Kaldorf, and P. Gruber Practical experiences from developing and implementing an expert system diagnostic tool ASHRAE Trans. 108 1 2002 826 840 (Pubitemid 34613738)
23. G.M. Kaler Embedded expert system development for monitoring packaged HVAC equipment ASHRAE Trans. 96 2 1990 733
24. S. Katipamula, and M.R. Brambley Methods for fault detection, diagnostics, and prognostics for building systems - a review, part I HVAC&R Research 11 1 2005 3 24
25. S. Katipamula, and M.R. Brambley Methods for fault detection, diagnostics, and prognostics for building systems - a review, part II HVAC&R Research 11 2 2005 169 187 (Pubitemid 40699776)
26. R. Kohavi, and G. John Wrappers for feature subset selection Artif. Intell. 97 1997 273 324 (Pubitemid 127401107)
27. W.J. Krzanowski Principles of Multivariate Analysis: a User's Perspective 1988 Oxford University Press New York
28. J. Liang, and R. Du Model-based fault detection and diagnosis of HVAC systems using support vector machine method Int. J. Refrigeration 30 2007 1104 1114 (Pubitemid 47212375)
29. H.T. Lin, and C.J. Lin A Study on Sigmoid Kernels for SVM and the Training of Non-PSD Kernels by SMO-type Methods. Technical Report 2003 Department of Computer Science, National Taiwan University http://www.csie.ntu. edu.tw/∼cjlin/papers/tanh.pdf
30. Y.G. Liu, Z.S. You, and L.P. Cao A novel and quick SVM-based multi-class classifier Pattern Recognit. 39 2006 2258 2264
31. H.C. Peng, F.H. Long, and C. Ding Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy IEEE Trans. Pattern Anal. Mach. Intell. 27 8 2005 1226 1238 (Pubitemid 41245053)
32. J.C. Platt, N. Cristianini, and J.S. Taylor Large Margin DAGs for Multiclass Classification 2000 MIT Press http://research.microsoft.com/pubs/ 68541/dagsvm.pdf
33. R. Rifkin, and A. Klautau In defense of one-vs.-all classification J. Mach. Learn. Res. 5 2004 101 141
34. S.A. Tassou, and I.N. Grace Fault diagnosis and refrigerant leak detection in vapour compression refrigeration systems Int. J. Refrigeration 28 2005 680 688 (Pubitemid 40774074)
35. Ignacio Yélamos, Moiss Graells, and Luis Puigjaner Simultaneous fault diagnosis in chemical plants using a multilabel approach AIChE. J. 53 11 2007 2871 2884 (Pubitemid 350074580)
36. X.L. Zhu Fundamentals of Applied Information Theory 2000 Tsinghua University Press Beijing, China (in Chinese)