| Autor: |
Zhi Hua Hao, Hong Xia Tian, Li Xin Tian |
| Rok vydání: |
2011 |
| Předmět: |
|
| Zdroj: |
Advanced Materials Research. :395-399 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.383-390.395 |
| Popis: |
In this study, blind source separation (BSS) method was applied to separate the multi-channel fault vibration signals generated by a rotor. As the signals were non-stationary, an algorithm based on spatial time-frequency distributions was applied to the experimental vibration signals to obtain the non-stationary vibration sources that were mutually independent. Further, AR modeling estimates of these sources were calculated with BURG method. A neural network was applied to the AR modeling parameters to perform the fault classification. The separation results of an experiment on a rotor’s multi-fault show that this method is feasible for fault diagnosis. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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