Improved BP Algorithms Applied to Fault Diagnosis of Stabilized Gyrocompass System

摘要：

By analyzing the structure feature of a stabilized gyrocompass system, the model of fault diagnosis is designed. In this paper, A BP neural network is applied to fault diagnosis. The focuses of this paper are two aspects: parameters optimization of improved BP algorithms and how to adjust the self-adaptive learning rate. Finally, the trained network is used to detect faults and achieves the satisfactory effectiveness.

关键词： stabilized gyrocompass fault diagnosis BP algorithm

作者: Li Jianing Wu Jiantong Zhou Xuemei Yuan Jinsheng

作者单位: Harbin Engineering University

会议类型: 国际会议

会议名称: 2007国际导航制导控制学术会议

会议地点: 北京

会议语种:英文

页码: 35-39

在线出版日期: 2007-11-04（万方平台首次上网日期，不代表论文的发表时间）