Data Reliability Analysis for Early Fault Diagnosis of Air Handling Unit (AHU)

The objective of this chapter is to analyze the reliability of the dataset for early fault diagnosis of air handling unit (AHU) of air conditioning and mechanical ventilation/heating, ventilation, and air conditioning (ACMV/HVAC) system. In this chapter, data reliability analysis for early fault diagnosis is performed for AHU only, which includes fan degradation and return air duct leakage fault conditions. Data of the said faults are generated through the use of an expert system platform, OpenStudio (OS) and sensitivity analysis is performed to identify the most sensitive parameters with respect to the fault severity level starting from zero to 30% of deviation from healthy condition. The most sensitive parameters are selected based on the rank of sensitivity analysis. A similar procedure was performed with real data obtained from measurement. The effect of parameters due to fault conditions in AHU is analyzed in terms of consistency of increasing, decreasing, both increasing and decreasing, and no correlation. The results of the analyzed data are documented and compared.