Wind Generator State Recognition Based on Information Fusion Technology
Wen Zhi Yang, Hua Li, Ju Feng Cao, Zhi Bin Feng · Advanced materials research · 2014
This paper mainly researches on information fusion technology in the application of wind generator state recognition. Set up the model of information fusion based on bayesian theory, and develop status identification system by the platform of Labview. Conduct the test on Drivetrain Diagnosis Simulator (DDS), Simulate the normal and fault condition of wind generator main drive system by using normal and fault gear. Collect the vibration data, extract time domain feature parameters of the vibration signal, and train the identification system with these features. Verify the accuracy of the recognition system through the experiment.