In the last years, the wind industry has increased in a large scale. A wind turbine out of service leeds to high costs due to both maintenance and repair costs and the incapability of producing electricity. A substantial part of the wind turbine failures are in the drivetrain, mainly in generator and gearbox. Several recent works focuses in the study of benefits of the integration of condition monitoring with current maintenance techniques, that would drive to the reduction of costs. For condition monitoring, vibration analysis has been widely accepted as the technique that gives most information about faults in a rotating machine, thus vibration sensors are often used in wind turbine applications. In this work, data from several vibration sensors installed in 18 wind turbines in cold climate were analysed using the Wavelet Packets Transform energy. Signals were acquired for more than four years (from 2011 to 2015), registering failures in gearboxes and generators of the wind turbines. Data were obtained under varying conditions of load and speed as well as varying weather conditions. Signals were analysed with the aim of finding parameters that indicate the presence of a fault. This would be useful to predict a failure with enough time to plan a stop of the wind turbine in the proper moment for similar faults in the future.

中文翻译：

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用于状态监测的风力涡轮机传动系统故障的振动信号分析

在过去的几年中，风电行业规模大幅增长。由于维护和维修成本以及无法发电，停止服务的风力涡轮机会导致高成本。风力涡轮机故障的很大一部分发生在传动系统中，主要发生在发电机和齿轮箱中。最近的几项工作集中在研究状态监测与当前维护技术集成的好处，这将推动成本的降低。对于状态监测，振动分析已被广泛接受，因为它可以提供有关旋转机器故障的大部分信息，因此振动传感器通常用于风力涡轮机应用。在这项工作中，使用小波包转换能量分析了来自安装在寒冷气候下的 18 个风力涡轮机中的几个振动传感器的数据。四年多（从 2011 年到 2015 年）获取信号，记录了风力涡轮机的齿轮箱和发电机的故障。数据是在不同的负载和速度以及不同的天气条件下获得的。分析信号的目的是找到指示故障存在的参数。这对于预测故障有足够的时间来计划在适当时刻停止风力涡轮机以应对未来类似故障是有用的。数据是在不同的负载和速度以及不同的天气条件下获得的。分析信号的目的是找到指示故障存在的参数。这对于预测故障有足够的时间来计划在适当时刻停止风力涡轮机以应对未来类似故障是有用的。数据是在不同的负载和速度以及不同的天气条件下获得的。分析信号的目的是找到指示故障存在的参数。这对于预测故障有足够的时间来计划在适当时刻停止风力涡轮机以应对未来类似故障是有用的。