Research and Design of Fault Diagnosis System for Powder Modeling Machines Based on Neural Network Expert System

摘要：

　　The HPP5000P powder molding machine is as the object of study in the paper.The combination of the neural networks and expert system in fault diagnosis are studied.Firstly,the principle and fault characteristics of powder molding machine are introduced in detail.Then the similarities and differences between neural network and expert system are studied in the next part,through which a basic structure of expert system model combined with neural network is designed.Finally,the expert system based on neural network is verified to be effective by a case of real-time monitoring to hydraulic pump of HPP5000P powder molding machine.

关键词： Powder Molding Machine Fault Diagnosis Expert System Neural Network

作者: Yali QIAN Baochun LU Xueren PAN Jinyu FENG

作者单位: School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing,P.R.China Haili Precision Machinery Manufacturing Co.,Ltd.,Yangzhou,P.R.China

会议类型: 国际会议

会议名称: The 5th International Conference on Mechanical Engineering and Mechanics(第五届国际机械工程与力学会议)

会议地点: 江苏扬州

会议语种:英文

页码: 265-269

在线出版日期: 2014-08-21（万方平台首次上网日期，不代表论文的发表时间）