Une stratégie de détection des anomalies et de diagnostic à sensibilité améliorée pour les refroidisseurs centrifuges.
A fault detection and diagnosis strategy with enhanced sensitivity for centrifugal chillers.
Auteurs : XIAO F., ZHENG C. Y., WANG S. W.
Type d'article : Article
Résumé
This paper presents a fault diagnosis strategy based on a simple regression model and a set of generic rules for centrifugal chillers. Four characteristic quantities obtained from low-cost measurements are used as fault indexes. Residuals, which are the differences between the fault indexes calculated from the model and the actual measurements respectively, are used to detect fault. Adaptive thresholds are adopted considering measurement and modeling uncertainties. Relative sensitivity of each fault index to a fault is analyzed so that the most sensitive one is selected and used in the rule-based fault diagnosis. Compared with previous study, the sensitivity of the fault diagnosis method is evidently enhanced by relating each fault to both the direction and the magnitude that the most sensitive index changes when the fault occurs. Seven common faults in typical centrifugal chillers are considered. The strategy is validated using the data sets of ASHRAE research project RP-1043. The results show that the FDD strategy developed is reliable and efficient with lower computation load and higher sensitivity. Therefore, it is quite suitable for online fault diagnosis of centrifugal chillers.
Détails
- Titre original : A fault detection and diagnosis strategy with enhanced sensitivity for centrifugal chillers.
- Identifiant de la fiche : 30006285
- Langues : Anglais
- Source : Applied Thermal Engineering - vol. 31 - n. 17-18
- Date d'édition : 12/2011
- DOI : http://dx.doi.org/10.1016/j.applthermaleng.2011.07.047
Liens
Voir d'autres articles du même numéro (21)
Voir la source
Indexation
-
Decoupling features for fault detection and dia...
- Auteurs : ZHAO X., YANG M., LI H.
- Date : 02/2011
- Langues : Anglais
- Source : HVAC&R Research - vol. 17 - n. 1
Voir la fiche
-
Diagnostic de panne d’un système frigorifique c...
- Auteurs : LIANG Q., HAN H., CUI X.
- Date : 11/2015
- Langues : Chinois
- Source : HV & AC - vol. 45 - n. 311
- Formats : PDF
Voir la fiche
-
Study on the support vector data description (S...
- Auteurs : LI G., HU Y., CHEN H., et al.
- Date : 16/08/2015
- Langues : Anglais
- Source : Proceedings of the 24th IIR International Congress of Refrigeration: Yokohama, Japan, August 16-22, 2015.
- Formats : PDF
Voir la fiche
-
Development and evaluation of a simple model-ba...
- Auteurs : REDDY T. A.
- Date : 23/06/2007
- Langues : Anglais
- Source : ASHRAE Transactions. 2007 Annual Meeting, Long Beach, CA. Volume 113, part 2 + CD-ROM.
Voir la fiche
-
Integration of dynamic model and classification...
- Auteurs : AGUILERA J. J., MEESENBURG W., SCHULTE A., OMMEN T., MARKUSSEN W. B., ZÜHLSDORF B., POULSEN J. L., FÖRSTERLING S., ELMEGAARD B.
- Date : 13/06/2022
- Langues : Anglais
- Source : 15th IIR-Gustav Lorentzen Conference on Natural Refrigerants (GL2022). Proceedings. Trondheim, Norway, June 13-15th 2022.
- Formats : PDF
Voir la fiche