De-noising method of aero-engine gas path electrostatic signal based on sparse representation
Quan Liu, Zuo Hongfu, Jiachen Guo, Heng Jiang, Zhong Zhirong, Zhang Meiju, Liu Taili, Yi Liu · 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT · 2020
Aero-engine gas path electrostatic signal often have various types of noise interference, and valuable signals are usually weak and obliterated among the many strong noises. In order to solve this problem, the noise reduction method based on the sparse representation of the aero-engine gas path electrostatic signal was studied. The electrostatic signal of a civil aviation turbofan RB211 aero-engine test record was selected as the experimental data, which effectively removed the noise interference in the original signal, verifies the effectiveness of the proposed method. The processing of aero-engine gas path electrostatic signal can effectively provide early warning of engine operating status and improve safety margins.