A vibration measurement device includes an acceleration sensor, an acceleration sensor mounting fixture, a spacer as an insulating member, and a heat shrink tube. The acceleration sensor includes an element. The acceleration sensor mounting fixture is disposed on a side of the acceleration sensor, adjacent to an object under measurement. The spacer is sandwiched between the acceleration sensor and the acceleration sensor mounting fixture so as to be in contact with both the acceleration sensor and the acceleration sensor mounting fixture. The heat shrink tube covers a sensor outer edge and a mounting fixture outer edge. The heat shrink tube includes a region protruding outward of acceleration sensor and the acceleration sensor mounting fixture as viewed from above.

A method and device for monitoring operation of a wind power bearing holder. The method includes: performing multi-cluster head assisted tracking at multi-point locations on an operation state of the wind power bearing holder via a plurality of sensing chips preinstalled in the wind power bearing holder to obtain point location tracking information; perform point location-related motion vector correction and prediction on orthogonally covered point location tracking information to obtain a circumferential motion trajectory of the point locations; performing irregular trajectory filtering processing on a current circumferential motion trajectory to obtain an ideal circumferential motion trajectory; and comparing locations of probability centroids between an ideal circumferential spatial region and a predicted circumferential spatial region, to obtain operation monitoring information of the wind power bearing.

A wind turbine rotor blade monitoring arrangement comprising includes an electrodynamic exciter mounted on the rotor blade; an excitation unit configured to generate an excitation signal for the electrodynamic exciter; a force sensor configured to measure force imparted to the rotor blade during operation of the electrodynamic exciter, which force sensor is collocated with the electrodynamic exciter; a vibration sensor arranged on the rotor blade at a distance from the electrodynamic exciter; and an evaluation unit configured to infer a health status of the rotor blade on the basis of a vibration sensor output and the measured force. A method of monitoring the health status of a wind turbine rotor blade is also provided.

A method and system for early fault detection in a wind turbine generator (7) is provided. A vibration signal of noise produced by the generator is received. A periodic signal component related to the number of rotor bars of a rotor (11) of the generator (7) is identified in the vibration signal, and a potential fault in the stator of the generator is identified based at least in part on a change in characteristic of the periodic signal component over time.

A method for reducing gear induced noise from a wind turbine is disclosed. A first vibration map and a second vibration map are generated, specifying, for each of a plurality of operating points of the generator, a virtual phase of vibrations originating from gear tooth meshing of the gearbox, relative to a first and second reference phase, at the respective operating points. An overlap between operating points of the first vibration map and operating points of the second vibration map is identified and virtual phases within the overlap are compared, thus deriving a phase offset between the first vibration map and the second vibration map. The virtual phase of vibrations of each of the operating points of the second vibration map are adjusted according to the phase offset, so as to align the first vibration map and the second vibration map, and the first vibration map and the second vibration map are combined into a resultant vibration map.

Techniques are provided for monitoring blades of a wind turbine by actively promoting blade vibrations by imposing a pitch actuation signal. A method of operating a wind turbine is disclosed where for each blade of a wind turbine, vibrations of the blade are actively promoted by imposing a pitch actuation signal to the pitch actuator, and at least one parameter relating to the blade vibration is determined.

A deterioration detection system according to the present disclosure includes an optical fiber (10) that is laid along a wind turbine (30) for power generation; a communication unit (21) configured to transmit pulsed light to the optical fiber (10) and receive an optical signal including information indicating vibration of the wind turbine from the optical fiber (10); and a detection unit (22) configured to detect deterioration of the wind turbine (30) on the basis of the information indicating the vibration of the wind turbine (30), the information being included in the optical signal.

A method for reducing gear induced noise from a wind turbine is disclosed. A first vibration map and a second vibration map are generated, specifying, for each of a plurality of operating points of the generator, a virtual phase of vibrations originating from gear tooth meshing of the gearbox, relative to a first and second reference phase, at the respective operating points. An overlap between operating points of the first vibration map and operating points of the second vibration map is identified and virtual phases within the overlap are compared, thus deriving a phase offset between the first vibration map and the second vibration map. The virtual phase of vibrations of each of the operating points of the second vibration map are adjusted according to the phase offset, so as to align the first vibration map and the second vibration map, and the first vibration map and the second vibration map are combined into a resultant vibration map.

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.

The present disclosure relates to the technical field of wind turbines, and in particular to a standby power supply control device, including: a nacelle vibration detection unit, configured to monitor vibrations of a nacelle of a wind turbine and send a first vibration signal obtained by monitoring a standby power supply start/shutdown control unit; and the standby power supply start/shutdown control unit, configured to acquire the first vibration signal, determine a vibration state of blades on the wind turbine according to the first vibration signal and send a start command to a standby power supply when the vibration state is abnormal. The standby power supply start/shutdown control unit is further configured to acquire comprehensive vibration information, determine a vibration suppression result of the wind turbine according to the comprehensive vibration information and send a shutdown command to the standby power supply when the vibration suppression result is vibration suppression completed.