A test rig for testing a blade bearing of a wind turbine blade is provided. The blade bearing includes a first part and a second part that is rotatable about an axial direction with respect to the first part. The test rig includes a bearing support, which is configured to be mounted to the first part of the blade bearing, a shaft element, which is configured to be mounted to the second part of the blade bearing and able to rotate with respect to the bearing support. A test load unit is configured to apply a load in the axial direction to the shaft element. The test load unit includes at least one actuator that is controllable to apply the load.

A method and a device for fault diagnosis of wind turbine pitch bearing based on neural network, the method includes: measuring the signal strength at different points of a sensor and different rolling angles, determining an optimal measurement rolling angle of a blade and sensor point arrangement, blocking the blade at the optimal rolling angle to collect the pitch vibration data, further processing the collected vibration data into a dataset, constructing a neural network model, using the collected dataset to train the network, and deploying the trained network to PLC for real-time dynamic monitoring of the wind turbine; the device includes the vibration acceleration sensors, a vibration data acquisition card and a programmable logic controller (PLC). The present disclosure can realize the fast, real-time and accurate monitoring of the health status of the pitch bearing.

A method and for determining an updated statistical life value of a rolling bearing in a machine, the rolling bearing including a stationary ring and a rotatable ring and at least one row of rolling elements interposed between raceways of the ring, at least one of the rolling elements being a sensorized rolling element having a load sensor configured to measure a load distribution across the sensorized rolling element. The method includes determining a set of measurements, each measurement including at least load values of the load distribution measured by the load sensor of the sensorized rolling element, for each measurement, determining a life rating value from at least the load values of the measurement and from a rating life model of the bearing, and determining the updated statistical life value from at least the life rating values.

The invention provides for controlling a wind turbine comprising pitch-adjustable rotor blades. The invention involves determining, based on detected wind conditions, wind turbine control parameters for controlling the wind turbine in accordance with a defined wind turbine control strategy, where the control parameters include a reference pitch angle for the rotor blades. The invention involves obtaining bearing control parameters each indicative of a parameter for controlling pitch bearings of the wind turbine that is for adjusting pitch of the rotor blades. The invention involves determining whether a defined set of operational parameters of the wind turbine, including the bearing control parameters, in combination correspond to a combination of operational parameters defined to be indicative of a level of wear above a threshold wear level. The pitch bearings are then controlled based on the reference pitch angle and on the threshold determination.

A method for preventing damage in a bearing of a generator of an electrical power system having a power conversion assembly with a first converter coupled to a second converter, and the power conversion assembly electrically coupled to the generator. Further, the method includes monitoring a phase current and voltage of the first converter. The method also includes calculating a common mode power using the phase current and the voltage of the first converter. Moreover, the method includes comparing the common mode power to a predefined power threshold. The method also includes determining whether the common mode power is indicative of degradation in at least one of a bearing insulation or a ground brush based on the comparison of the common mode power to the predefined power threshold.

A method of monitoring the condition of a fluid-film bearing arranged to support the generator of a direct-drive wind turbine is provided. The method allows providing a hydrophone configured to convert acoustic noise to an output signal; immersing the hydrophone in the lubricating fluid of the fluid-film bearing; providing access to the hydrophone output signal at the exterior of the fluid-film bearing; and evaluating the hydrophone output signal to determine the condition of the fluid-film bearing. Disclosed embodiments further include a condition monitoring arrangement of a fluid-film bearing; and a direct-drive wind turbine comprising a fluid-film bearing and the condition monitoring arrangement.