Failure Diagnosis of Steam Turbine-generator based on Improving BP Network and Particle Swarm Optimization Algorithm

摘要：

In order to overcome the problems of slow rate of convergence and falling easily into local minimum in BP algorithm, this paper introduces the adaptive particle swarm optimization algorithm and combining model. The paper applies it to steam turbine-generators fault diagnosis. The experiment data shows that the algorithm converges quickly and recognizes faults efficiently; it has a reference value for faults diagnosis.

关键词： BP network particle swarm steam turbine-generator

作者: Zhiguang TIAN

作者单位: School of Informatic ,Liyi Nornal University, Liyi 276005, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 387-391

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）