| Autor: |
Runfei Li, Wu Yingjie, Zhongzhong Hu, Hongwei Xin, Yang Yanjun, Jianguo Wang |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 IEEE Sustainable Power and Energy Conference (iSPEC). |
| Popis: |
The complexity and variability of wind turbine(WT) operating conditions bring many challenges to the diagnosis based on vibration analysis. Based on this, a multi-source date method combining vibration and synchronous SCADA(Supervisory Control and Data Acquisition) data is proposed to realize gearbox fault diagnosis under different working conditions. Firstly SCADA data is adopted to divide WT operation zones based on the theoretical operation zones analysis of variable-speed and constant-frequency WTs. Then directly using generator speed signal from SCADA which is sampled every second and vibration signal to develop order tracking. Finally, the fault diagnosis and analysis of gearbox under different operation zones are attained through the feature order automatic capture technology. The results show that the different operating zone has a different effect on the characteristics of order amplitude, the method based on multi-source data can accurately and stably extract the fault characteristics of gearbox and achieve the fault diagnosis of WT under the full operating zone. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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