Study of Method on Genetic BP Networks for Vibration Fault Diagnosis of Turbogenerator

摘要：

　　Considering the complexity and relevance of fault diagnosis for turbo-generator,the paper makes diagnosis by adopting improved genetic BP network algorithm.In order to solve the problems of slow network learning and tendency of minimum point in BP algorithm,the structure and specific parameter of BP network optimized by genetic algorithm were used in the discussion of a model integrated with adaptive genetic neural algorithm,which was applied in the fault identification of turbo-generator.Experimental data shows that the algorithm is characterized by high convergence rate,effective vibration fault diagnosis for turbo-generator and relative high reliability and practicability.

关键词： Genetic algorithm neural network faults

作者: Enping Zhang Huifen Zhang Bicui Xue

作者单位: School of Electrical Engineering,University of Jinan,Jinan Shandong,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 1025-1030

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）