Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners
This paper presents a method for automated detection and diagnosis of faults in vapor compression air conditioners that only requires temperature measurements, and one humidity measurement. The differences between measured thermodynamic states and predicted states obtained from models for normal performance (residuals) are used as performance indices for both fault detection and diagnosis. For fault detection, statistical properties of the residuals for current and normal operation are used to classify the current operation as faulty or normal. A diagnosis is performed by comparing the directional change of each residual with a generic set of rules unique to each fault. This diagnostic technique does not require equipment-specific learning, is capable of detecting about a 5% loss of refrigerant, and can distinguish between refrigerant leaks, condenser fouling, evaporator fouling, liquid line restrictions, and compressor valve leakage.
A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners
This paper presents a method for automated detection and diagnosis of faults in vapor compression air conditioners that only requires temperature measurements, and one humidity measurement. The differences between measured thermodynamic states and predicted states obtained from models for normal performance (residuals) are used as performance indices for both fault detection and diagnosis. For fault detection, statistical properties of the residuals for current and normal operation are used to classify the current operation as faulty or normal. A diagnosis is performed by comparing the directional change of each residual with a generic set of rules unique to each fault. This diagnostic technique does not require equipment-specific learning, is capable of detecting about a 5% loss of refrigerant, and can distinguish between refrigerant leaks, condenser fouling, evaporator fouling, liquid line restrictions, and compressor valve leakage.
A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners
Rossi, Todd M. (Autor:in) / Braun, James E. (Autor:in)
HVAC&R Research ; 3 ; 19-37
01.01.1997
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Simple Rule-Based Methods for Fault Detection and Diagnostics Applied to Packaged Air Conditioners
| British Library Conference Proceedings | 2001
Simple Rule-Based Methods for Fault Detection and Diagnostics Applied to Packaged Air Conditioners
| British Library Online Contents | 2001
Rule-Based Diagnostic Method for HVAC Fault Detection
| British Library Conference Proceedings | 1989
A Methodology for Diagnosing Multiple Simultaneous Faults in Vapor-Compression Air Conditioners
| Taylor & Francis Verlag | 2007
| British Library Online Contents | 1999