Blind Source Separation of Internal Combustion Engine Vibration Signals
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 them separa...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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The Institute of Materials Engineering, Australasia Ltd.
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/18250 |
| _version_ | 1848749690717208576 |
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| author | Liu, Xianhua Randall, R. Antoni, J. |
| author2 | Mike Xie |
| author_facet | Mike Xie Liu, Xianhua Randall, R. Antoni, J. |
| author_sort | Liu, Xianhua |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 them separately. However, traditional frequency analysis techniques are not very useful due to overlap of different sources over a wide frequency range. This paper separates the vibration signals, especially piston slap, by using blind source separation techniques with the intention of reavealing the potential of the new technique for solving mechanical vibration problems. The BSS method is briefly described and separation results for both simulated and measured data are presented. |
| first_indexed | 2025-11-14T07:24:57Z |
| format | Conference Paper |
| id | curtin-20.500.11937-18250 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:24:57Z |
| publishDate | 2005 |
| publisher | The Institute of Materials Engineering, Australasia Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-182502022-10-20T04:44:10Z Blind Source Separation of Internal Combustion Engine Vibration Signals Liu, Xianhua Randall, R. Antoni, J. Mike Xie Adrian Mouritz Blind source separation internal combustion engine vibration signal 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 them separately. However, traditional frequency analysis techniques are not very useful due to overlap of different sources over a wide frequency range. This paper separates the vibration signals, especially piston slap, by using blind source separation techniques with the intention of reavealing the potential of the new technique for solving mechanical vibration problems. The BSS method is briefly described and separation results for both simulated and measured data are presented. 2005 Conference Paper http://hdl.handle.net/20.500.11937/18250 The Institute of Materials Engineering, Australasia Ltd. restricted |
| spellingShingle | Blind source separation internal combustion engine vibration signal Liu, Xianhua Randall, R. Antoni, J. Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title | Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title_full | Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title_fullStr | Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title_full_unstemmed | Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title_short | Blind Source Separation of Internal Combustion Engine Vibration Signals |
| title_sort | blind source separation of internal combustion engine vibration signals |
| topic | Blind source separation internal combustion engine vibration signal |
| url | http://hdl.handle.net/20.500.11937/18250 |