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Fault detection and diagnosis (FDD) is critical to reliable operation and energy efficiency of variable-air-volume (VAV) air-conditioning system. In this paper, a robust fault detection and diagnosis strategy is presented for multiple faults of air handling units by using the residual-based exponentially weighted moving average (EWMA) control chart method and the rule-based fault diagnosis method...
An online model-based fault detection and diagnosis (FDD) strategy is presented in this paper to diagnose abrupt faults of variable-air-volume (VAV) air handling units (AHU). The FDD strategy proposed adopts a hybrid approach integrating model-based FDD method and rule-based FDD method. Self-tuning model is used to detect the faults in AHU systems. Model parameters are adjusted by a genetic algorithm-based...
Research on fault detection and diagnosis of variable air volume (VAV) air-conditioning systems is of great significance for energy conservation and stable operation of the air-conditioning systems. A fault detection and diagnosis (FDD) strategy using a hybrid method is presented for VAV air handling units in this paper. The Cumulative sum (CUSUM) control charts are used to detect faults in air handling...
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