Sensor fault detection and diagnosis in building energy management systems

Describes the fault patterns of sensors and presents their mathematical functions. Based on the measured data of building energy management systems, uses the principal component analysis(PCA) method to establish a model and detect and diagnose four types of sensor faults in air conditioning monitoring systems. The results show that the PCA method has good performance in fault detection and diagnosis.