Fault Diagnosis and Analysis of Wind Turbine Gearbox Based on Optical Fiber Sensing Technology and SVM-ELM
For wind turbine gearbox fault signal acquisition,feature extraction and fault diagnosis of problems,a health status assessment method combining fiber Bragg grating detection technology and fault algorithm was proposed.First of all,the dy-namic monitoring system based on optical fiber architecture design and planning failure state of health assessment of overall pro-cess to realize the construction of the experimental platform,secondly by the acquisition signal variation mode decomposition and multi-scale analysis of permutation entropy algorithm and completed the construction of characteristic vectorset,finally,support vector machine(SVM),probabilistic neural network(PNN),limit the comparison and analysis of machine learning algorithm for testing accuracy and time.Results show that the method can achieve accurate classification of failure mode and improve the prob-ability of failure prediction.
NETL
NSTL
万方数据
维普
