Title :
Analysis of Fault Signal in Aircraft Power System Based on Hilbert-Huang Transform
Author :
Fu Wei ; Zhu Yan
Author_Institution :
Changcheng Inst. of Metrol. & Meas., Aviation Ind. Corp. of China, Beijing, China
Abstract :
In order to solve the fault transient signal extracting and analysis problem in aircraft power system, Hilbert-Huang Transform (HHT) is used in this paper. The complicated signal can be decomposed into a finite Intrinsic Mode Functions (IMF) by the Empirical Mode Decomposition (EMD), which makes the instantaneous frequency meaningful. Thus, the fault transient signal can be analyzed by instantaneous frequency and Hilbert marginal spectrum. The results show that HHT can analyze the fault signal from time and frequency domains, detect fault time, extract and analyze harmonic components from the fault signal for the aircraft power system. It is demonstrated by actual analysis that HHT is one effective way for analysis of the fault signal in the aircraft power system.
Keywords :
Hilbert transforms; aircraft power systems; power system faults; time-frequency analysis; EMD; HHT; Hilbert marginal spectrum; Hilbert-Huang transform; IMF; aircraft power system; empirical mode decomposition; fault transient signal analysis; fault transient signal extracting problem; finite intrinsic mode functions; frequency domain analysis; frequency spectrum; harmonic components; time domain analysis; Aerospace electronics; Aircraft; Circuit faults; Harmonic analysis; Power system harmonics; Transforms; Empirical Mode Decomposition (EMD); Hilbert-Huang Transform (HHT); analysis of fault signal;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
DOI :
10.1109/ICM.2011.220
