Design And Implementation Of Condition Monitoring And Bearing Fault Diagnosis System For Wind Turbine

Wind energy is one of the world’s most abundant clean energy, andwind power is the most effective conversion form of wind energy. With thecontinuous development of large equipment manufacturing and windpower technology, wind turbines are constantly developing towards a large,ocean-oriented direction, and the number of installations of wind turbinesis increasing year by year. Up to2013, the world’s total installed capacityhas reached318.137GW. With the expanding number of wind turbines, itsfailure and incidence of accidents have also increased, resulting in seriouseconomic losses. A good wind turbine condition monitoring and faultdiagnosis system can ensure the stability of the wind turbine operation, andreduce the failure rate and maintenance costs. This study is come from thedirection of the wind turbine condition monitoring and bearing faultdiagnosis system.The wind turbine condition monitoring designed in this study and thebearing fault diagnosis system acquisition can reflect the temperature,speed, displacement, vibration signal of the operating status of its variouscomponents, and intelligently identify faults and alarm, therefore,hardware and software are required to implement the operation of theentire system.1. The hardware, which includes sensors, data acquisition,servers, is mainly to complete the data acquisition functions.2. Thesoftware part includes Matlab software with powerful data processingcapabilities and configuration software WinCC, and networkcommunication protocols. For Matlab data processing, the paper presents a wavelet packet algorithm and a core algorithm of improved neural networkmodel as bearing vibration signal fault diagnosis.3. Condition monitoring,fault diagnosis, fault alarm, parameter setting, process value archiving andreport printing capabilities are developed in the platform of WinCCsoftware.4. Site Profibus-DP communication network protocol is used toachieve real-time communication of the data acquisition and WinCC, andOPC communications technology is adopted to achieve real-timecommunication between Matlab and WinCC.5. The set of system isapplied in simulations of small wind turbine and gearbox bearing faultdiagnosis experiments in laboratory.The experimental results show that the set of system is able to wellmonitor the operating status of the various components of the wind turbine,and has a high failure diagnostic accuracy for gearbox bearing failure. Thecondition monitoring and bearing fault diagnosis system designed in thisstudy manages to achieve a real-time online monitoring of wind turbinesand intelligent bearings fault diagnosis.