The harsh environment with low temperature and high humidity in mountain areas of southern China easily leads to ice hazard for wind turbine structures. The coving ice on wind turbine blades can deteriorate power generating efficiency and even lead to generator shutdown. The development of efficient ice monitoring methodology is critical for antiicing and deicing of wind turbine blades. In this study, an active icing monitoring approach based on stress wave propagation measurement for a wind turbine blade model using piezoelectric lead zirconate titanate (PZT) ceramic is proposed. The experimental study on blade models equipped with compressive and shear mode PZT patches and covered with different thicknesses of ice is carried out. The corresponding voltage responses of both compressive and shear mode PZT sensors are recorded when a certain designated PZT actuator was excited with sinusoidal sweep frequency excitation signals. The wavelet packet analysis on the received voltage signals of PZT sensors is carried out and the corresponding evaluation index called as wavelet packet energy is defined and determined. The results show that the wavelet packet energy of the PZT sensor voltage measurements is obviously related to the thickness of the coving ice on the blade models.