Application of the multi‐scale enveloping spectrogram to detect weak faults in a wind turbine gearbox
| Autor: | Wei Teng, Zhiyong Ma, Yibing Liu, Dameng Wang, Andrew Kusiak |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Wind power Renewable Energy Sustainability and the Environment business.industry 020209 energy Acoustics 02 engineering and technology Structural engineering Fault (power engineering) Turbine Signal Vibration 0202 electrical engineering electronic engineering information engineering Demodulation Spectrogram business Envelope (mathematics) |
| Zdroj: | IET Renewable Power Generation. 11:578-584 |
| ISSN: | 1752-1424 1752-1416 |
| DOI: | 10.1049/iet-rpg.2016.0722 |
| Popis: | The gearbox of a wind turbine involves multiple rotating components, each having a potential to be affected by a fault. Detecting weak faults of these components with traditional demodulation analysis is challenging. Multi-scale enveloping spectrogram (MuSEnS) decomposes a vibration signal into different frequency bands while simultaneously generating the corresponding envelope spectra. In this study, a MuSEnS-based diagnosis approach is applied to detect faults affecting the intermediate stage of a gearbox installed in an operating wind turbine. The MuSEnSs of 12 vibration channels have allowed to identify multiple fault features, including the weak fault of the big gear on the sun shaft. The effectiveness of the proposed fault diagnosis approach has been tested with industrial data and the faults themself have been confirmed with the disassembled gears. |
| Databáze: | OpenAIRE |
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