TY - JOUR
T1 - Approach and Application of Semi-Blind Source Separation for Aero-Engine Vibration Signals Using ICA-R
AU - Shi, Lujie
AU - Wang, Yankai
AU - Liao, Mingfu
AU - Jiang, Yunfan
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/5/22
Y1 - 2019/5/22
N2 - In this paper, the approach and application of semi-blind source separation (SBSS) in aero-engine vibration signal is studied. Firstly, the features of aero-engine vibration signal and difficulties for blind source separation (BSS) are summarized, and the SBSS incorporated the available prior knowledge is match to the goal of signal processing. Then, the ICA with reference (ICA-R) algorithm based on classical FastICA is introduced, with Newton iteration and gradient descent iteration approach to obtain optimal solution. The unique parameters in ICA-R for aero-engine vibration signal are also provided. Finally, the efficacy and the accuracy of the ICA-R algorithm are verified by numerical simulations and real engine vibration signals. The approach of SBSS in this paper perfectly suited to handle aero-engine vibration source separation and it lead to efficient implementation in fault diagnosis.
AB - In this paper, the approach and application of semi-blind source separation (SBSS) in aero-engine vibration signal is studied. Firstly, the features of aero-engine vibration signal and difficulties for blind source separation (BSS) are summarized, and the SBSS incorporated the available prior knowledge is match to the goal of signal processing. Then, the ICA with reference (ICA-R) algorithm based on classical FastICA is introduced, with Newton iteration and gradient descent iteration approach to obtain optimal solution. The unique parameters in ICA-R for aero-engine vibration signal are also provided. Finally, the efficacy and the accuracy of the ICA-R algorithm are verified by numerical simulations and real engine vibration signals. The approach of SBSS in this paper perfectly suited to handle aero-engine vibration source separation and it lead to efficient implementation in fault diagnosis.
UR - http://www.scopus.com/inward/record.url?scp=85067817799&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1215/1/012030
DO - 10.1088/1742-6596/1215/1/012030
M3 - 会议文章
AN - SCOPUS:85067817799
SN - 1742-6588
VL - 1215
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012030
T2 - 2018 9th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2018
Y2 - 29 December 2018 through 31 December 2018
ER -