Evaluating the performance of a fault detection and diagnostic system for vapor compression equipment

HVAC and R Research

Volumn 4, Issue 4, 1998, Pages 401-425

  Breuker, Mark S ^a   Braun, James E ^a  

^a Purdue University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR CONDITIONING; FAILURE ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; PERFORMANCE; STATISTICAL METHODS;

FAULT DETECTION AND DIAGNOSTIC (FDD) METHOD; VAPOR COMPRESSORS;

COMPRESSORS;

EID: 0032183639     PISSN: 10789669     EISSN: None     Source Type: Journal    
DOI: 10.1080/10789669.1998.10391412     Document Type: Article

References (17)

1. ASHRAE. 1993. ASHRAE Handbook—1993 Fundamentals. Atlanta:ASHRAE.
2. Breuker, M. S., 1997. Evaluation of a Statistical, Rule-Based Fault Detection and Diagnostics Method for Vapor Compression Air Conditioners, Master's Thesis School of Mechanical Engineering, Purdue University.
3. Breuker, M. S., 1998. Transient Evaluation of a Fault Detection and Diagnostics Method—Analysis tools and Experimental data W. Lafayette, Indiana:Ray W. Herrick Laboratories, Purdue University. Technical Report HL98–9
4. Breuker, M. S., and Braun, J. E., 1998. Common Faults and their Impacts for Rooftop Air Conditioners. Int. J. of HVAC&R Research, 4 (3):303–318.
5. Draper, N. R., and Smith, H., 1981. Applied Regression Analysis. New York:John Wiley and Sons.
6. Glass, A. S., Gruber, P., Roos, M., and Tödtli, J., 1995. Qualitative Model-Based Fault Detection in Air-Handling Units. IEEE Control Systems, 15 (4):11–22.
7. Grimmelius, H. T., Klein Woud, J., and Been, G., 1995. On-line Failure Diagnosis for Compression Refrigeration Plants. International Journal of Refrigeration, 18 (1):31–41.
8. Inatsu, H., Matsuo, H., Fujiwara, K., Yamada, K., and Nishizawa, K., 1992. Development of Refrigerant Monitoring Systems for Automotive Air-Conditioning Systems Society of Automotive Engineers. Paper No. 920212
9. Kumamaru, T., Utsunomiya, T., Yamada, Y., Iwasaki, Y., Shoda, I., and Obayashi, M., A Fault Diagnosis System for District Heating and Cooling Facilities. Proc. of the International Conference on Industrial Electronics, Control, and Instrumentation. Kobe, Japan. pp. 131–136. (IECON '91)
10. McKellar, M. G., 1987. Failure Diagnosis for a Household Refrigerator, Master's thesis School of Mechanical Engineering, Purdue University.
11. Rossi, T. M., 1995. Detection, Diagnosis, and Evaluation of Faults in Vapor Compression Cycle Equipment, Ph.D. Thesis IN:School of Mechanical Engineering, Purdue University.
12. Rossi, T. M., and Braun, J. E., 1996. Minimizing Operating Costs of Vapor Compression Equipment with Optimal Service Scheduling. Int. J. of HVAC&R Research, 2 (1):23–47.
13. Rossi, T. M., and Braun, J. E., 1997. A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners. Int. J. of HVAC&R Research, 3 (1):19–37.
14. Stallard, L. A., 1989. Model Based Expert System for Failure Detection and Identification of Household Refrigerators, Master&s thesis School of Mechanical Engineering, Purdue University.
15. Stylianou, M., and Nikanpour, D., 1996. Performance Monitoring, Fault detection, and Diagnosis of Reciprocating Chillers. ASHRAE Transactions, 102 (1):615–627.
16. Wagner, J., and Shoureshi, R., 1992. Failure Detection Diagnostics for Thermofluid Systems. Journal of Dynamic Systems, Measurement, and Control, 114 (4):699–706.
17. Yoshimura, M., and Ito, N., Effective Diagnosis Methods for Air-Conditioning Equipment in Telecommunications Buildings. Proc.of INTELEC 89:The Eleventh International Telecommunications Energy Conference. October15–181989. Vol. 21.1, pp. 1–7. Firenze:Centro dei Congressi.