JAILCD
Online ISSN : 2759-8586
Print ISSN : 2189-1400
On-line Prediction Method Study for Wind Power System Spindle Shaft Break
He WangHao FengHao Zhao
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2016 年 2016 巻 1 号 p. 151-

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Wind energy is a clean renewable energy, with the general of wind power, there are more and more application of wind turbine. Wind power equipment general based on offshore or plains, In the process of wind turbine rotating, due to wind and load changing, the spindle bear large torque effect, the impact to the axis of rotation is also changing, Through long-term accumulation, fatigue fracture become the potential risks. If we can effectively predict shaft fracture failure, it will be able to ensure the safe operation of the wind turbine, also can save a lot of maintenance cost. This thesis puts forward a on-line detection method of wind turbine shaft fracture failure. By measuring the change of shaft transmission torque and shaft torsional stiffness conditions, to analyze the causes of formation of cracks in the shaft, thus found the omen of broken shaft failure.

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