Based on the arbitrary angle compressive sensing (CS) method

the influence of sensor installation angle deviation on the fan/compressor azimuthal mode recognition was analyzed

and an adaptive angle optimization program was designed to correct the reconstruction error. The influence of angle deviation and number of sensors on the results of azimuthal mode reconstruction was investigated by numerical experiments. When the angle deviation level was 2.5%

the average reconstruction error was more than 10%. If the reconstruction error was basically unchanged

and the number of sensors increased from 7 to 25

the angle deviation level can only be expanded to 4%. The niching micro genetic algorithm was used for adaptive angle optimization. Under 20 dB signal-to-noise ratio

the angle deviation level can be expanded from 2.5% to 10% through adaptive angle optimization

which reduced the accuracy requirements for sensor installation. The reconstructed amplitude of the main azimuthal acoustic mode at the first three-order blade passing frequency of a cooling fan was optimized. It was shown that the adaptive angle optimization method can effectively improve the reliability of fan/compressor azimuthal mode reconstruction based on CS.