TY - JOUR
T1 - Identification Method of EMI Sources Based on Measured Single-Channel Signal and its Application in Aviation Secondary Power Source Design
AU - Xiao, Chunyan
AU - Zhao, Tingting
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/4
Y1 - 2017/4
N2 - A single-channel mixed and complicated nonlinear electromagnetic interference (EMI) signal generally can only be measured in the electromagnetic compatibility test for an electrical system. Based on the single-channel signal, this paper describes a novel identification method of EMI sources. The method applies the ensemble empirical mode decomposition (EEMD) for channel expansion. The number of main EMI sources is evaluated by the principal component analysis, and the main expanded channels are sifted by the correlation analysis to solve the underdetermined problem of single-channel blind source separation. This paper also describes an effective method to identify the interference strength among the main EMI sources: the amplitude ratios of main EMI sources are extracted by combining the frequency characteristics with intrinsic mode functions (IMFs), in which the frequency characteristics are obtained by fast independent component analysis and the IMFs are achieved by EEMD. When this method is applied for conducted EMI identification in switching power converters of aviation secondary power source, experimental results show that it can evaluate the number of main EMI sources and identify the main EMI sources accurately.
AB - A single-channel mixed and complicated nonlinear electromagnetic interference (EMI) signal generally can only be measured in the electromagnetic compatibility test for an electrical system. Based on the single-channel signal, this paper describes a novel identification method of EMI sources. The method applies the ensemble empirical mode decomposition (EEMD) for channel expansion. The number of main EMI sources is evaluated by the principal component analysis, and the main expanded channels are sifted by the correlation analysis to solve the underdetermined problem of single-channel blind source separation. This paper also describes an effective method to identify the interference strength among the main EMI sources: the amplitude ratios of main EMI sources are extracted by combining the frequency characteristics with intrinsic mode functions (IMFs), in which the frequency characteristics are obtained by fast independent component analysis and the IMFs are achieved by EEMD. When this method is applied for conducted EMI identification in switching power converters of aviation secondary power source, experimental results show that it can evaluate the number of main EMI sources and identify the main EMI sources accurately.
KW - Adaptive signal processing
KW - Single-channel blind source separation (BSS)
KW - amplitude estimation
KW - electromagnetic interference (EMI)
KW - identification
UR - https://www.scopus.com/pages/publications/84992146822
U2 - 10.1109/TEMC.2016.2612704
DO - 10.1109/TEMC.2016.2612704
M3 - 文章
AN - SCOPUS:84992146822
SN - 0018-9375
VL - 59
SP - 439
EP - 446
JO - IEEE Transactions on Electromagnetic Compatibility
JF - IEEE Transactions on Electromagnetic Compatibility
IS - 2
M1 - 7592453
ER -