TY - GEN
T1 - Fault Diagnosis of 12-phase Synchronous Rectified Power System
AU - Wu, Liqin
AU - Wang, Lu
AU - Zhang, Jing Nan
AU - Niu, Hao
AU - Ye, Xue Rong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Fault diagnosis of the 12-phase synchronous rectification power generation system (12-Phase SRPGS) helps to ensure the safety and stability operation of the integrated electric propulsion system. The traditional fault diagnosis method is mostly based on the qualitative analysis of the harmonic content of the output signal. However, the 12-Phase SRPGS has complex structure and many kinds of faults. The common kinds of faults may contain harmonics with the same number of times. The traditional method has no better distinction effect on this kind of fault. In order to distinguish the fault, this paper proposed a fuzzy pattern recognition method based on harmonic, the method based on FFT and wavelet packet decomposition, the output voltage of 12-Phase SRPGS for signal processing, the characteristics obtained the harmonic content voltage and the frequency band energy of output voltage, based on the least square method, the function fitting of the characteristic vector and its load is carried out. The fault mode of 12-phase SRPGS under arbitrary load can be effectively detected by calculating the closeness between the characteristic vector of the output voltage collected under certain load and the standard fuzzy symptom set.
AB - Fault diagnosis of the 12-phase synchronous rectification power generation system (12-Phase SRPGS) helps to ensure the safety and stability operation of the integrated electric propulsion system. The traditional fault diagnosis method is mostly based on the qualitative analysis of the harmonic content of the output signal. However, the 12-Phase SRPGS has complex structure and many kinds of faults. The common kinds of faults may contain harmonics with the same number of times. The traditional method has no better distinction effect on this kind of fault. In order to distinguish the fault, this paper proposed a fuzzy pattern recognition method based on harmonic, the method based on FFT and wavelet packet decomposition, the output voltage of 12-Phase SRPGS for signal processing, the characteristics obtained the harmonic content voltage and the frequency band energy of output voltage, based on the least square method, the function fitting of the characteristic vector and its load is carried out. The fault mode of 12-phase SRPGS under arbitrary load can be effectively detected by calculating the closeness between the characteristic vector of the output voltage collected under certain load and the standard fuzzy symptom set.
KW - 12-phase synchronous rectification power generation system (12-Phase SRPGS)
KW - Fault diagnosis
KW - fuzzy pattern recognition
KW - harmonic characteristics
UR - https://www.scopus.com/pages/publications/85082382494
U2 - 10.1109/QR2MSE46217.2019.9021179
DO - 10.1109/QR2MSE46217.2019.9021179
M3 - 会议稿件
AN - SCOPUS:85082382494
T3 - Proceedings of 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2019
SP - 801
EP - 807
BT - Proceedings of 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2019
Y2 - 6 August 2019 through 9 August 2019
ER -