The Wind Power Generation Fault Diagnosis System—Data Acquisition System Design

With the deterioration of environment, wind energy is become one of the most valueable and the highest technical maturity of the renewable energy, and it has been the concerned by all over the world. Due to the terrible environment, the higher fault incidence and the complex fault position, the wind turbines shut down caused by fault give rise to serious economic losses. In order to avoid unnecessary losses, reduce fault incidence, as well as prolong turbine lifetime, the wind turbines need a real-time monitoring system.This study designs a wind turbine mechanical fault monitoring and data acquisition system. First the background of wind turbine mechanical fault monitoring system, the domestic and overseas development status, the purpose and significance were introduced, and then the paper expounds the basic structure of wind power generator, through analyzing the usual mechanical failure reason, propose best data collection methods to every situations. This acquisition system is using the sensors which installed in the wind turbine mechanical device to collect speed signals and vibration signals. After that, using virtual instrument technology and digital signal processing technology in multi-channel to acquire, dispose and save the data. The data acquired by the NI 9234 data acquisition card, through using the flexible NI Compact RIO software and hardware platform, in which FPGA is embedded inside the repetitive logic programming powerful processing ability, rapid increase the performance of the data acquisition system. When a fault occurs, it will alarm the host computer, and upload faulty information data to wind control center online analysis system, timely notify staffs to make response, and according to the actual situation to repair so as to ensure the normal operation of wind power generator.This design built a data monitoring and transmission platform through NI Compact RIO software and hardware resources, to complete wind turbine data collection, preservation and transmission. Among them, the non-stationary speed signal collected, the Angle domain signal resampling based on Lab VIEW order analysis, get frequency vibration signal and the frequency doubling clearly, eventually found the advantage of order analysis to the wind turbine machinery fault diagnosis.