A simulation study of a hierarchical, rule-based method for system-level fault detection and diagnostics in HVAC systems | Zendy

Jeffery Schein | Zendy; Steven T. Bushby | Zendy

Open Access

A simulation study of a hierarchical, rule-based method for system-level fault detection and diagnostics in HVAC systems

Author(s) -

Jeffery Schein,

Steven T. Bushby

Publication year - 2005

Language(s) - English

Resource type - Reports

DOI - 10.6028/nist.ir.7216

Subject(s) - hvac , fault detection and isolation , fault (geology) , computer science , reliability engineering , real time computing , engineering , artificial intelligence , biology , mechanical engineering , air conditioning , actuator , paleontology

A system-level fault detection and diagnostic (FDD) method for heating, ventilation, and air conditioning (HVAC) systems was developed. It functions as an interface between multiple, equipment-specific FDD tools and a human operator. The method resolves 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.

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