Abstract
This paper investigates wound rotor induction machine bearing fault detection by stator current analysis. The influence of bearing faults on machine operation is first examined using a time-stepped circuit model. The calculations indicate that low magnitude fault specific frequencies appear in the stator current signal as a result of air-gap variations produced by an incipient bearing fault. The low magnitudes of the fault specific frequencies make the detection of bearing fault using conventional current signature analysis techniques challenging. Hence an alternative technique based on spectral analysis of complex signals is proposed in order to improve fault detection. Measurements taken in a series of laboratory tests on a commercial 30 kW machine are used to demonstrate the applicability of the proposed approach.
| Original language | English |
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| Title of host publication | European Wind Energy Conference and Exhibition 2012, EWEC 2012|Eur. Wind Energy Conf. Exhib., EWEC |
| Place of Publication | European Wind Energy Exhibition and Conference EWEA 2012 – Scientific track Proceedings |
| Publisher | EWEA |
| Pages | 465-472 |
| Number of pages | 7 |
| Volume | 1 |
| ISBN (Print) | 9781627482912 |
| Publication status | Published - 2012 |
| Event | European Wind Energy Conference and Exhibition 2012, EWEC 2012 - Copenhagen Duration: 1 Jul 2012 → … |
Conference
| Conference | European Wind Energy Conference and Exhibition 2012, EWEC 2012 |
|---|---|
| City | Copenhagen |
| Period | 1/07/12 → … |
Keywords
- Bearing fault detection
- Condition monitoring
- Current signature analysis
- Envelope analysis
- Induction generator