[1]任 涛 欧旭鹏.风力发电机组轴承状态检测综述[J].大众科技,2022,24(02):53-56.
 Review on Bearing Condition Detection of Wind Turbine[J].Popular Science & Technology,2022,24(02):53-56.
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风力发电机组轴承状态检测综述()
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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
24
期数:
2022年02
页码:
53-56
栏目:
电力与机械
出版日期:
2022-02-20

文章信息/Info

Title:
Review on Bearing Condition Detection of Wind Turbine
作者:
任 涛 欧旭鹏 
(华能华家岭风力发电有限公司,甘肃 定西 743000)
关键词:
风力发电机组在线监测故障诊断
Keywords:
wind turbine Online monitoring fault diagnosis
文献标志码:
A
摘要:
随着风力发电装机容量的不断增加,风力发电机组设备的运行维护工作将越来越困难,并且风力发电机组设备的运维成本也在不断提高。风电场运维人员通过对风力发电机组转动设备在线监测,来预测和诊断设备的故障。通过研究可以看出风力机组大量故障是由于轴承与齿轮箱故障造成的。因此,对风力发电机组状态监测变得至关重要。文章对有关风力发电机组状态监测与故障诊断技术的研究进行综述,为今后提高风电机组的可靠性、预测和风电机组组件的早期故障诊断提供参考。
Abstract:
With the increasing installed capacity of wind turbine, the operation and maintenance of wind turbine equipment will be more and more difficult, and the operation and maintenance cost of wind turbine equipment is also increasing. The operation and maintenance personnel of the wind farm predict and diagnose the fault of the equipment by Online monitoring the rotating equipment of the wind turbine. Through the research, it can be seen that a large number of faults of wind turbine are caused by bearing and gearbox faults. Therefore, the condition monitoring of wind turbine becomes very important. This paper summarizes the research on condition monitoring and fault diagnosis technology of wind turbine, so as to provide reference for improving the reliability, prediction and early fault diagnosis of wind turbine components in the future.

参考文献/References:

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备注/Memo

备注/Memo:
【收稿日期】2021-11-20 【作者简介】任涛(1993-),男,甘肃白银人,供职于华能华家岭风力发电有限公司,研究方向设备管理。
更新日期/Last Update: 2022-05-24