Design And Development Of The Remote Condition Monitoring System For Offshore Wind Turbine Blade Based On LabVIEW

Due to a long-term living in the harsh marine environment at sea and the internal impact of the unit,the offshore wind turbines easily generate a few failures on the blades,gear boxes,generators and yaw systems,which even cause severe vibration of the blades.If an effective on-line monitoring is not carried out in time,the function of the blade will be invalidated in advance.In this dissertation,the theory and experiment research have been used to study the vibration characteristics of wind turbine blades,and an early warning system for wind turbine blades on-line monitoring has been developed based on the LabVIEW software.First of all,through the research of the failure mechanism on the wind turbine blade,the characteristic parameters were separately extracted by taking the vibration parameters of the blade as the characteristic quantity in four kinds of situations,which include the normal blade,the crack blade,the mass eccentricity and the root bolt loosening.And a fault identification model of blade has been established based on BP neural network.Secondly,the prediction model of blade health state has been established by taking the maximum average vibration amplitude of blade as the characteristic parameter every three days.Finally,combined with LabVIEW software and the peanut shell dynamic domain name resolution software,the problem that the user can not be remotely accessed the monitoring system through the external network has been solvedIn this dissertation,the wind turbine blade which is 1.5 meters has been taken as the test object and the blade condition monitoring experimental platform has been established.According to the layout of the test bench and the measurement methods,the corresponding signal acquisition hardware system has been selected and built.Then the fault identification and the natural frequency extraction of the blade have been carried out by the experiment.Finally,the result of the developed system has showed that the error is less than 5%compared with Jiangsu Donghua software,which indicates that the system developed in this dissertation can effectively reflect the state characteristics of wind turbine blades.