Fault Diagnosis of Certain Type of Tank Fire Control System Based on BP Neural Network

摘要：

　　In order to solve the problems existing in the fault diagnosis of tank fire control system, such as bigger subjectivity and less accuracy, a fault diagnosis model based on BP (Back Propagation) is studied.The working conditions of tank fire control system are described with a group of state parameters.A fault diagnosis model is established and a self adaptive variable BP learning algorithm is designed.Finally, a simulation is conducted with MA TLAB.The results show that the convergence time of this algorithm is short, and this model is able to make fire control system fault diagnosis rapidly and accurately.

关键词： BP Neural Network Fire Control System Fault Diagnosis MATLAB

作者: Su Jian Chen Yuqiang Yang Guozhen Zhang Lei

作者单位: Department of Control Engineer,Academy of Armored Force Engineering,China Beijing 100072,China

会议类型: 国际会议

会议名称: 2013 IEEE 11th International Conference on Electronic Measurement & Instruments(第十一届IEEE国际电子测量与仪器学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 862-866

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）