The Research on Servo DC Motor Fault Diagnosis with LVQ Neural Network Theory

摘要：

　　According to the analysis on the fault diagnosis technology of Servo DC motor in aerospace measurement and control, LVQ Neural Network is studied in this paper.The ability of feature extraction and pattern recognition is the characteristics of LVQ neural network, and it is applied to analyze current signals in different branches.We proposed a servo DC motor fault diagnosis model based on LVQ neural network theory, determined the input, output, network structure and inference of the model, and designed a DC motor fault diagnosis system to identify the failure mode in the fault diagnosis of DC motor.In order to demonstrate the superiority of LVQ neural network, a classical BP neural network has been developed to solve the same problem for comparison.The simulation results shows that the LVQ neural network is effective and superiority in fault location.

关键词： Fault diagnosis LVQ neural network Fault mode identify Servo DC motor

作者: Qing Sun Guangping Liu Demin Qiu Qi Zhang Jiaqing Xi

作者单位: Qingdao Station, Xian Satellite Control Center, Qingdao 266114, China

会议类型: 国际会议

会议名称: The 27th Conference of Spacecraft TT&C Technology in China(第27届中国飞行器测控学术会议)

会议地点: 广州

会议语种:英文

页码: 565-575

在线出版日期: 2014-11-09（万方平台首次上网日期，不代表论文的发表时间）