An Automatic Ground Test Method for the Analogue Unit of Ground Proximity Warning System

摘要：

This paper presents an automatic test method used in ground test system for an airborne equipment named Ground Proximity Rate Signal Processor (GPRSP), finds out the signal architecture of GPRSP, analyzes the feasibility to diagnosis with a modified symbolic method, presents a fault diagnosis algorithm based on BP neural network, verifies the algorithm in actual situation. Result shows that the method can accomplish automatic test of GPRSP effectively.

关键词： automatic test neural network fault diagnosis ground proximity warning system

作者: Wei XIAO Xiao-Ping ZHU Zhou ZHOU

作者单位: National Key Laboratory of Science and Technology on UAV UAV Research and Development Institute Northwestern Polytechnical University Xian, China

会议类型: 国际会议

会议名称: 2011 International Conference on Quality,Reliability,Risk,Maintenance,and Safety Engineering(2011年质量、可靠性、风险、维修性与安全性国际会议暨第二届维修工程国际学术会议 ICQR2MSE 2011)

会议地点: 西安

会议语种:英文

页码: 288-291

在线出版日期: 2011-06-17（万方平台首次上网日期，不代表论文的发表时间）