@ARTICLE{Feng_Sai_Fault_2021,
 author={Feng, Sai and Cui, Jiang and Zhang, Zhuoran},
 volume={vol. 28},
 number={No 2},
 journal={Metrology and Measurement Systems},
 pages={269-288},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={Afault diagnosis method for the rotating rectifier of a brushless three-phase synchronous aerospace generator is proposed in this article. The proposed diagnostic system includes three steps: data acquisition, feature extraction and fault diagnosis. Based on a dynamic Fast Fourier Transform (FFT), this method processes the output voltages of aerospace generator continuously and monitors the continuous change trend of the main frequency in the spectrum before and after the fault. The trend can be used to perform fault diagnosis task. The fault features of the rotating rectifier proposed in this paper can quickly and effectively distinguish single and double faulty diodes. In order to verify the proposed diagnosis system, simulation and practical experiments are carried out in this paper, and good results can be achieved.},
 type={Article},
 title={Fault diagnosis method for an aerospace generator rotating rectifier based on dynamic FFT technology},
 URL={http://ochroma.man.poznan.pl/Content/120097/art03.pdf},
 doi={10.24425/mms.2021.136607},
 keywords={aerospace generator, rotating rectifier, fault diagnosis, dynamic Fast Fourier Transform, feature extraction},
}