Building energy doctors: An SPC and Kalman Filter-based method for system-level fault detection in HVAC systems

IEEE Transactions on Automation Science and Engineering

Volumn 11, Issue 1, 2014, Pages 215-229

  Sun, Biao ^a   Luh, Peter B ^b   Jia, Qing Shan ^a   O'Neill, Zheng ^c   Song, Fangting ^d  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNITED TECHNOLOGIES RESEARCH CENTER   (United States)

^d United Technologies Research Center   (China)

Author keywords

Fault detection; Heating; Kalman filter; Statistical process control (SPC); Ventilation and air conditioning (HVAC)

Indexed keywords

CRITICAL PROBLEMS; DATA-DRIVEN METHODS; GRADUAL DEGRADATION; KALMAN-FILTERING; SIMULATION MODEL; STATISTICAL PROCESS CONTROLS (SPC); SYNERGISTIC INTEGRATION; VENTILATION AND AIR CONDITIONING;

BUILDINGS; COMPUTER SIMULATION; ENERGY UTILIZATION; FAULT DETECTION; HEATING; KALMAN FILTERS; STATISTICAL PROCESS CONTROL;

AIR CONDITIONING;

EID: 84892432613     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2012.2226155     Document Type: Article

References (29)

1. B. Sun, P. B. Luh, Z. O'Neill, and F. Song, "Building energy doctors: SPC and Kalman filter-based fault detection," in Proc. IEEE Conf. Autom.Sci. Eng., Trieste, Italy, Aug. 2011, pp. 333-340.
2. J. Lausten, Energy Efficiency Requirements in Building Codes, Energy Efficiency Policies for New Buildings. Paris, France: International Energy Agency, 2008.
3. B. Fournier, N. Rupin, M. Bigerelle, D. Najjar, and A. Iost, "Comments on the mixture detection rule used in SPC control charts," Communications in Statistics-Simulation and Computation, vol. 36, no. 6, pp. 1321-1331, 2007. (Pubitemid 350182180)
4. B. Sun, P. Luh, and Z. O'Neill, "SPC and Kalman filter-based fault detection and diagnosis for an air-cooled chiller," Frontiers of Electr. Electron. Eng., vol. 6, no. 3, pp. 412-423, 2011.
5. I. B.D.McIntosh, J.W.Mitchell, andW. A. Beckman, "Fault detection and diagnosis in chillers, part 1: Model development and application," ASHRAE Trans., vol. 106, no. 2, pp. 268-282, 2000.
6. K. Choi, S.M. Namburu,M. S. Azam, J. Luo, K. R. Pattipati, and A. Patterson-Hine, "Fault diagnosis in HVAC chillers using data-driven techniques," in Proc. IEEE Autotestcon, 2004, pp. 407-413. (Pubitemid 40915020)
7. M. S. Breuker and J. E. Braun, "Evaluating the performance of a fault detection and diagnostic system for vapor compression equipment," Int. J. Heating, Ventilating, Air Conditioning and Refrigerating Res., vol. 4, no. 4, pp. 401-425, 1998. (Pubitemid 128552469)
8. S. M. Namburu, M. S. Azam, J. Luo, K. Choi, and K. R. Pattipati, "Data-driven modeling, fault diagnosis and optimal sensor selection for HVAC chillers," IEEE Trans. Autom. Sci. Eng., vol. 4, no. 3, pp. 469-473, Jul. 2007. (Pubitemid 47159785)
9. S. W. Wang and F. Xiao, "AHU sensor fault diagnosis using principal component analysis method," Energy and Buildings, vol. 36, pp. 147-160, 2004.
10. S. W. Wang and J. T. Cui, "Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal component analysis method," Appl. Energy, vol. 82, pp. 197-213, 2005.
11. J. Y. Qin and S. W.Wang, "A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances," Energy and Buildings, vol. 37, pp. 1035-1048, 2005.
12. O. Morisot and D. Marchio, "Fault detection and diagnosis on HVAC variable air volume system using artificial neural network," in Proc. IBPSA Building Simulation, Kyoto, Japan, 1999.
13. T. M. Rossi and J. E. Braun, "A statistical, rule-based fault detection and diagnostic method for vapor compression air conditioners," Int. J. Heating, Ventilating, Air Conditioning and Refrigerating Res., vol. 3, no. 1, pp. 19-37, 1997. (Pubitemid 127681694)
14. A. Bashi, V. P. Jilkov, and X. R. Li, "Fault detection for systems with multiple unknown modes and similar units and its application to HVAC," IEEE Trans. Control Syst. Technol., vol. 19, no. 5, pp. 957-968, Sep. 2011.
15. J. Ru and X. R. Li, "Variable-structuremultiple-model approach to fault detection, identification, and estimation," IEEE Trans. Control Syst. Technol., vol. 16, no. 5, pp. 1029-1038, Sep. 2008.
16. J. Saththasivam and K. C. Ng, "Predictive and diagnostic methods for centrifugal chillers," ASHRAE Trans., vol. 114, no. 1, pp. 282-287, 2008.
17. S. Katipamula and M. R. Brambley, "Methods for fault detection, diagnostics, and prognostics for building systems-A review, Part I," Int. J. Heating, Ventilating, Air Conditioning and Refrigerating Res., vol. 11, no. 1, pp. 3-25, 2005. (Pubitemid 40296371)
18. Y. E. Shao and J. Fu, "A fault detection for a correlated process with the use of SPC/EPC/NN scheme," in Proc. 4th Int. Conf. Innovative Comput., Inform. Control (ICICIC), Kaohsiung, Taiwan, Dec. 7-9, 2009, pp. 240-243.
19. N. M. Ung and L. Wee, "Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers," Phys. Med. Bio., vol. 56, pp. 7473-7485, 2011.
20. J. M. Gordon and K. C. Ng, Cool Thermodynamics. Cambridge, U.K.: Cambridge Int. Sci., 2000.
21. W. Jiang and T. A. Reddy, "Reevaluation of the Gordon-Ng performance models for water-cooled chillers," ASHRAE Trans., vol. 109, no. 2, 2003.
22. J. Lichtenstien, "Performance selection of mechanical draft cooling towers," Trans. Amer. Soc. Mech. Eng., vol. 65, 1943.
23. R.Y.Zhao, C. Y.Fan, andD.H.Xue, Air Conditioning (in Chinese). Beijing, China: China Construction Industry Press, 2009.
24. Y. Bar-Shalom and X. R. Li, Estimation and Tracking-Principles, Techniques, and Software. London, U.K.: Artech House, 1993.
25. G. Bishop and G. Welch, "An introduction to the Kalman filter," in Proc. ACM SIGGRAPH, Course 8, Los Angeles, CA, Aug. 2001.
26. DeST software, Dept. Building Science, Tsinghua University, Beijing, China, 2008. [Online]. Available: www.dest.com.cn
27. D. Yan, J. Xia, W. Tang, F. Song, X. Zhang, and Y. Jiang, "DeST-An integrated building simulation toolkit Part I: Fundamentals," Building Simulation, vol. 1, no. 5, pp. 95-110, 2008.
28. M. S. Breuker and J. E. Braun, "Evaluating the performance of a fault detection and diagnostic system for vapor compression equipment," Int. J. Heating, Ventilating, and Air Conditioning and Refrigerating Res., vol. 4, no. 4, pp. 401-425, 1998. (Pubitemid 128552469)
29. P. Luh and B. Sun, Energy doctors: SPC and Kalman filter-based fault detection and diagnosis United Technology Research Center, Hartford, CT, UTRC Rep., 2010.