- Author
- Schein, J. | Bushby, S. T.
- Title
- Hierarchical Rule-Based Fault Detection and Diagnostic Method for HVAC Systems.
- Coporate
- National Institute of Standards and Technology, Gaithersburg, MD
- Journal
- HVAC&R Research, Vol. 12, No. 1, 111-125, January 2006
- Keywords
- heating | ventilation | air conditioning | fault detection | methodology | simulation | air temperature | water supply | air pressure
- Identifiers
- fault detection and diagnostic (FDD); hierarchical decision-making framework; rule set fori integrating multiple fault reports; flow chart of hierarchical FDD algorithm; list of HVAC system and equipment faults; air-handling unit (AHU)
- Abstract
- A rule-based, system-level fault detection and diagnostic (FDD) method for HVAC systems was developed. It functions as an interface between multiple, equipment-specific FDD tools and a human operator. The method resolves and prioritizes conflicting fault reports from equipment-specific FDD tools, performs FDD at the system level, and presents an integrated view of an HVAC system's fault status to an operator. A simulation study to test and evaluate the method was conducted.