TY - JOUR
T1 - Blind source separation of internal combustion engine piston slap from other measured vibration signals
AU - Liu, Xianhua
AU - Randall, R.B.
PY - 2005
Y1 - 2005
N2 - Internal combustion engines have several vibration sources, such as combustion, fuel injection, piston slap and valve operation. For machine condition monitoring or design improvement purposes, it is necessary to separate the vibration signals caused by different sources and then analyse each of them individually. However, traditional frequency analysis techniques are not very useful due to overlap of the different sources over a wide frequency range. This paper attempts to separate the vibration sources, especially piston slap, by using blind source separation techniques with the intention of revealing the potential of the new technique for solving mechanical vibration problems. The BSS method and the Blind least mean square algorithm using Gray's variable norm as a measure of non-Gaussianity of the sources is briefly described and separation results for both simulated and measured data are presented and discussed. (c) 2005 Published by Elsevier Ltd.
AB - Internal combustion engines have several vibration sources, such as combustion, fuel injection, piston slap and valve operation. For machine condition monitoring or design improvement purposes, it is necessary to separate the vibration signals caused by different sources and then analyse each of them individually. However, traditional frequency analysis techniques are not very useful due to overlap of the different sources over a wide frequency range. This paper attempts to separate the vibration sources, especially piston slap, by using blind source separation techniques with the intention of revealing the potential of the new technique for solving mechanical vibration problems. The BSS method and the Blind least mean square algorithm using Gray's variable norm as a measure of non-Gaussianity of the sources is briefly described and separation results for both simulated and measured data are presented and discussed. (c) 2005 Published by Elsevier Ltd.
U2 - 10.1016/j.ymssp.2005.08.004
DO - 10.1016/j.ymssp.2005.08.004
M3 - Article
SN - 0888-3270
VL - 19
SP - 1196
EP - 1208
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
ER -