Method Based on Rule Reasoning and Neural Network Reasoning for Fault Diagnosis of Fiber Optic Gyros

摘要：

As the key part of the small satellites measurement system, once it gets fault, the whole satellite may fail. Hence we need to diagnose faults for the fiber optic gyros when the small satellite runs on the orbit. According to the characteristics of fiber optic gyros, this study describes an expert systeM which based on the combination of rules reasoning and neural network reasoning. To detective fault quickly and exactly, the expert system uses different ways according to different fault types. After simulation test, the expert system is proved to be effective.

关键词： Fiber Optic Gyro Ezpert System Neural Network Fault Diagnosis

作者: Duan Lunan Chen Fuen

会议类型: 国际会议

会议名称: The 2009 International Conference on Advances in Construction Machinery and Vehicle Engineering(2009年工程机械与车辆工程新进展国际学术会议 ICACMVE09)

会议地点: 长春

会议语种:英文

页码: 159-162

在线出版日期: 2009-08-21（万方平台首次上网日期，不代表论文的发表时间）