风电机组传动系统振动监测研究进展

发布时间：2019-05-08 01:49

【摘要】：振动监测是当前风电机组传动系统状态监测的主要手段。首先,分析了风电机组传动系统振动监测策略和各部件振动特征提取流程,重点介绍了边频带能量因子、阶次谱边频带能量比等振动特征趋势指标;然后,分析指出解决现役风电机组因传动系统故障导致巨大经济损失的关键是进行风电机组传动系统早期故障预示,重点介绍了泛化流形学习的风电机组传动系统早期故障预示方法;最后,从系统架构、数据采集配置及监测分析方法等方面分析了现有的风电机组传动系统振动监测系统的功能与特点,指出了基于多源信息融合的大数据预测分析与智能维护将是风电机组健康管理的重要发展趋势。
[Abstract]:Vibration monitoring is the main means of current wind turbine transmission system condition monitoring. Firstly, the vibration monitoring strategy of the wind turbine transmission system and the process of extracting the vibration characteristics of each component are analyzed, and the trend indexes of the vibration characteristics, such as the energy factor of the side band, the energy ratio of the frequency band of the order spectrum, and so on, are emphatically introduced. Then, it is pointed out that the key to solve the huge economic loss caused by the transmission system failure of the wind turbine in service is to predict the early failure of the transmission system of the wind turbine. The early fault prediction method of wind turbine transmission system based on generalized manifold learning is introduced. Finally, the functions and characteristics of the existing vibration monitoring system of wind turbine transmission system are analyzed from the aspects of system architecture, data acquisition configuration and monitoring and analysis methods, etc. It is pointed out that big data prediction analysis and intelligent maintenance based on multi-source information fusion will be an important development trend of wind turbine health management.
【作者单位】：重庆大学机械传动国家重点实验室;
【基金】：国家自然科学基金资助项目(51675067,51375514) 重庆市重点产业专项资助项目(cstc2015zdcy-ztzx70012)
【分类号】：TM315

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