A vapour compression chiller fault detection technique based on adaptative algorithms. Application to on-line refrigerant leakage detection
- 31 August 2006
- journal article
- Published by Elsevier in International Journal of Refrigeration
- Vol. 29 (5), 716-723
- https://doi.org/10.1016/j.ijrefrig.2005.12.008
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Sensitivity of refrigeration system performance to charge levels and parameters for on-line leak detectionApplied Thermal Engineering, 2005
- Applying grey forecasting to predicting the operating energy performance of air cooled water chillersInternational Journal of Refrigeration, 2004
- BWR stability monitoring using adaptive methodsAnnals of Nuclear Energy, 2003
- A comparison of empirically based steady-state models for vapor-compression liquid chillersApplied Thermal Engineering, 2003
- Transient simulation of vapour-compression packaged liquid chillersInternational Journal of Refrigeration, 2002
- Modelling of vapour-compression liquid chillers with neural networksApplied Thermal Engineering, 2001
- Adaptive Autoregressive Modeling used for Single-trial EEG Classification - Verwendung eines Adaptiven Autoregressiven Modells für die Klassifikation von Einzeltrial-EEG-DatenBiomedizinische Technik/Biomedical Engineering, 1997
- A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air ConditionersHVAC&R Research, 1997
- On-line failure diagnosis for compression refrigeration plantsInternational Journal of Refrigeration, 1995
- Process fault detection based on modeling and estimation methods—A surveyAutomatica, 1984