Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis

Energy Conversion and Management

Volumn 49, Issue 12, 2008, Pages 3654-3665

  Du, Zhimin ^a   Jin, Xinqiao ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Air handling unit; Detection and diagnosis; Fisher discriminant analysis; Multiple faults; Principal component analysis

Indexed keywords

ARSENIC; DISCRIMINANT ANALYSIS; FAILURE ANALYSIS; FISHER INFORMATION MATRIX; QUALITY ASSURANCE; SENSOR NETWORKS; SENSORS; WATER ANALYSIS;

AIR DAMPERS; AIR HANDLING UNIT; AIR HANDLINGS; DATA CLASSES; DATA SPACES; DETECTION AND DIAGNOSIS; FAULTY OPERATIONS; FISHER DISCRIMINANT ANALYSIS; FISHER TRANSFORMATIONS; LINEAR DIMENSIONALITIES; MAHALANOBIS DISTANCES; MULTIPLE FAULTS; OF SENSORS; OUTDOOR AIRS; PCA MODELS; PRINCIPAL COMPONENTS; SUPPLY AIR TEMPERATURES; VALVE STICK;

PRINCIPAL COMPONENT ANALYSIS;

EID: 54049097439     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2008.06.032     Document Type: Article

References (31)

1. Hyvarnen J., et al. IEA ANNEX 25, building optimization and fault diagnosis source book (1995), International Energy Agency, Paris
2. Dexter L, Pakanen J. Demonstrating automated fault detection and diagnosis methods in real buildings, VTT Building Technology, Finland (ISBN 951-38-5726-3), ANNEX 34 Final Report; 2001, IEA.
3. Piette M.A., Kinney S.K., and Philip H. Analysis of an information monitoring and diagnostic system to improve building operation. Energy Build 33 8 (2001) 783-791
4. Comstock MC, Braun JE. Development of analysis tools for the evaluation of fault detection and diagnostics in chillers. Report #HL99-20. Purdue University, Ray W. Herrick Laboratories, West Lafayette, IN; 1999.
5. Peitsman H., and Bakker V.E. Application of black-box models to HVAC systems for fault detection. ASHRAE Trans 102 2 (1996) 628-640
6. Rossi T.M., and Braun J.E. A statistical rule-based fault detection and diagnostic method for vapor compression air conditioners. Int J Heat Ventil, Air Cond Refrig Res 3 1 (1997) 19-37
7. Yoshida H., Iwami T., Yuzawa H., and Suzuki M. Typical faults of air-conditioning systems and fault detection by ARX model and extended kalman filter. ASHRAE Trans 102 1 (1996) 557-564
8. Lee W.Y., Park C., and Kelly G.E. Fault detection in an air-handling unit using residual and recursive parameter identification methods. ASHRAE Trans 102 2 (1996) 528-539
9. Ngo D., and Dexter A.L. A robust model-based approach to diagnosing faults in air-handling units. ASHRAE Trans 105 1 (1999) 1078-1086
10. House J.M., Vaezi-Nejad H., and Whitcomb J.M. An expert rules set for fault detection in air handling units/discussion. ASHRAE Trans 107 1 (2001) 858-871
11. Dexter A.L., and Ngo D. Fault diagnosis in HVAC systems: a multi-step fuzzy model-based approach. Int J HVAC R Res 7 1 (2001) 83-102
12. Lee W.Y., House J.M., and Shin D.R. Fault diagnosis and temperature sensor recovery for an air-handling unit [J]. ASHRAE Trans 103 1 (1997) 621-633
13. Wang S.W., and Chen Y.M. Fault-tolerant control for outdoor ventilation air flow rate in building based on neural network[J]. Build Environ 37 7 (2002) 691-704
14. Stylianou M., and Nikanour D. Performance monitoring, fault detection, and diagnosis of reciprocating chillers [J]. ASHRAE Trans 102 1 (1996) 615-627
15. Wang S.W., and Wang J.B. Robust sensor fault diagnosis and validation in HVAC systems[J]. Trans Inst Measur Control 24 3 (2002) 231-262
16. Wang S.W., and Xiao F. AHU sensor fault diagnosis using principal component analysis method [J]. Energy Build 36 (2004) 147-160a
17. Wang S.W., and Qin J.Y. Sensor fault detection and validation of vav terminals in air-conditioning systems[J]. Energy Conv Manag 46 15-16 (2005) 2482-2500
18. Wang S.W., and Cui J.T. A robust fault detection and diagnosis strategy for centrifugal chillers[J]. HVAC R Res 12 3 (2006) 407-428
19. Jin X.Q., and Du Z.M. Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method [J]. Appl Therm Eng 26 11-12 (2006) 1226-1237
20. Zhimin D., and Xinqiao J. Fault detection and diagnosis based on improved PCA with JAA method in VAV systems[J]. Build Environ 42 9 (2007) 3221-3232
21. Zhimin D., and Xinqiao J. Detection and diagnosis for sensor fault in HVAC systems[J]. Energy Conv Manag 48 3 (2007) 693-702
22. Xiao F., and Wang S.W. A diagnostic tool for online sensor health monitoring in air-conditioning systems[J]. Autom Construct 15 (2006) 489-503
23. Hart P.E., Duda R.O., and Stork D.G. Pattern classification. 2nd ed. (2001), John Wiley & Sons, New York
24. Dunia R., and Joe Qin S. Joint diagnosis of process and sensor faults using principal component analysis. Control Eng Pract 6 (1998) 457-469
25. Misra M., Henry Yue H., and Joe Qin S. Multivariate process monitoring and fault diagnosis by multi-scale PCA. Comput Chem Eng 26 (2002) 1281-1293
26. Jackson J.E., and Mudholkar G.S. Control procedures for residuals associated with principal components analysis. Technometrics 21 (1979) 341-349
27. Jolliffe I.T. Principal component analysis (1986), Springer-Verlag, NewYork
28. Edward J. User's guide to principal components (1991), Wiley
29. Chiang L.H., Russell E.L., and Braatz R.D. Fault diagnosis and Fisher discriminant analysis, discriminant partial least squares, and principal component analysis. Chemometric Intell Lab Syst 50 (2000) 243-252
30. Chiang L.H., Kotanchek M.E., and Kordon A.K. Fault diagnosis based on Fisher discriminant analysis and support vector machines [J]. Comput Chem Eng 28 (2004) 1389-1401
31. Jin X.Q. Study on simulation of VAV air-conditioning system and online optimal control [D] (1999), Shanghai Jiaotong University, Shanghai