This paper brings forward a detection method based on qualitative trend analysis for sensor faults in HVAC systems. It divides sensors which have similar signals into groups firstly, then uses the trend similarity of signals in one group for fault detection. By collecting sensor data of air conditioning system, the bias fault and drift fault of the sensors are simulated. The results show that the method is feasible.