An OOM-KBES Approach for Fault Detection an Diagnosis
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This paper presents an integrated approach to the intelligent building research: using both the object-oriented modeling (OOM) and knowledge-based expert-system (KBES) methodologies and technologies for fault detection and diagnosis (FDD) of building HVAC systems. The approach consists of five basic steps: 1) establish a model simulating the behavior of the target system using object-oriented design methodologies; 2) identify all types of faults in the target system, extract rules for each process to build the knowledge bases; 3) integrate the knowledge bases into system model to allow the system perform FDD task on itself; 4) build an on-line monitoring system to collect all real-time setpoint data; and 5) make inference against the knowledge bases based on real time data and generate reports.
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