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| Fault tree intelligent diagnosis technology for wind turbine drivetrain |
| REN Yan1,2,3, BI Yaxiong2, WANG Dekuan3, SUN Yuan1, ZAHANG Kai4, DAI Angi1 |
| 1.School of Electric Power, North China Institute of Water Conservancy and Hydroelectric University, Zhengzhou, Henan 450045, China; 2.China Three Gorges Corporation, Beijing 100038, China; 3.China Institute of Water Resources and Hydropower Research, Beijing 100038, China; 4.Henan Province Agricultural Science and Technology Exhibition Hall, Zhengzou, Henan 450002, China |
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Abstract In order to slove the practical problems of the wind turbine drivetrain with complex structure, the fault tree intelligent diagnosis technology was used for the fault diagnosis of wind turbine drivetrain. Through the fault tree analysis, combined with drivetrain fault type and the mechanism analysis, the wind turbine drivetrain fault tree intelligent diagnosis system was built. By using hybrid knowledge representation based on the framework for the fault tree, the relationships both between the fault and fault characteristics and between the fault and fault source were analyzed. The reasoning mechanism from the top events was used to the intermediate and to the basic events, to determine the state of each node on the fault tree, then to find out the source of trouble; finally, by use of the fault tree intelligent diagnostis technology in this study, the fault example of wind turbine drivetrain of 3# wind turbine in some wind farm was analyzed. By vibration analysis, the fanlt characteristics of gear box, main shaft and coupling were extracted, by which it was initially defined as bearing damage. According to the damage reason, the cleanness and lubrication condition of bearing were checked. The waste oil was pure yellow, with inside iron clear. It was shown that the fault source was the gear box bearing lubrication.
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Received: 20 October 2015
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