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Can I read Blind Source Separation of Internal Combustion Engine Piston Slap from Other Measured Vibration Signals on EtoBox?
Blind Source Separation of Internal Combustion Engine Piston Slap from Other Measured Vibration Signals by Xianhua Liu; R.B. Randall is a Engineering article available to read on EtoBox.
What is Blind Source Separation of Internal Combustion Engine Piston Slap from Other Measured Vibration Signals about?
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.
Who reads Blind Source Separation of Internal Combustion Engine Piston Slap from Other Measured Vibration Signals?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Xianhua Liu; R.B. Randall
- Publisher
- Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0888-3270)
- Published
- 2005
- Language
- EN
- Field
- Engineering (Physical Sciences)