An online robust fault detection method is presented in this paper forVAVair handling unit and its implementation. Residual-based\nEWMA control chart is used to monitor the control processes of air handling unit and detect faults of air handling unit. In order\nto provide a level of robustness with respect to modeling errors, control limits are determined by incorporating time series model\nuncertainty in EWMA control chart.The fault detection method proposed was tested and validated using real time data collected\nfrom real VAV air-conditioning systems involving multiple artificial faults. The results of validation show residual-based EWMA\ncontrol chart with designing control limits can improve the accuracy of fault detection through eliminating the negative effects of\ndynamic characteristics, serial correlation, normal transient changes of system, and time series modeling errors. The robust fault\ndetection method proposed can provide an effective tool for detecting the faults of air handling units.
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