Abstract
The effectiveness of separation and identification of mechanical signals vibrations is crucial to successful fault diagnosis in the condition monitoring and diagnosis of complex machines.Aeroengine vibration signals always include many complicated components, blind source separation (BSS) provides a efficient way to separate the independent component.In order to get the most effective algorithm of vibration signal separation,experiment has been done to acquire plenty of multi-mixed rotor vibration signals,three sets of vibration data generated from aeroengine rotating shafts were separated from the synthetic vibration signal. The results prove that blind source separation is effective and can be applied for vibration signal processing and fault diagnosis of aeroengine.
| Original language | English |
|---|---|
| Pages (from-to) | 801-804 |
| Number of pages | 4 |
| Journal | Key Engineering Materials |
| Volume | 419-420 |
| DOIs | |
| State | Published - 2010 |
| Externally published | Yes |
Keywords
- Aeroengine
- Blind source separation
- Signal processing
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