Targeting the shortages of the compressor aerodynamic stall warning that the existing algorithm cannot identify progressivetype stall and spiketype stall inception effectively and multi sensor channels are required for obtaining the amplitude of stall cell

the characteristics of signal during compressor stall development were analyzed. And according to the rotation characteristics of compressor stall signal

the method of circumferential multipath stall inception signal reconstruction was proposed based on singlechannel sensor signal by parallel moving algorithm. The value of signal reconstruction step was discussed. Furthermore

based on the modal wave theory

the stall signal amplitudes of each mode disturbance were obtained by the application of the spatial Fourier transformation on the reconstructed signal. Progressivetype and spiketype stall precursor were identified according to the amplitude variation of low order modes

thus predicting the occurrence of stall. Taking certain compressor as an example for simulation. Results show that as long as the signal reconstruction steps is less than half the time scale of the spike wave

the reconstructed multipath signal can reproduce the development process of circumferential position compressor stall well

the smellier step means more conducive to identifying stall inception. Changes in the amplitude of firstorder modal acquired from modal decomposition can effectively reflect the stall development. The stall inception can be accurately identified in the prestall development by setting reasonable modal amplitude threshold. Therefore

both progressivetype and spiketype stall enable warning based on a single sensor signal.