Remote Status Monitoring and Fault Diagnosis for Manufacturing System
This paper introduces a novel approach for mechanical manufacturing system to implement status monitoring and fault diagnosis. The embedded hardware and software framework for terminal device is discussed to ensure high performance, high reliability, high expansibility, low power and small volume. According to the demand of remote status monitoring, the strategy of data transmission and information sharing is applied to provide the analyzing and diagnosing service based on intranet/internet. The artificial intelligent technique is used for information fusion and fault diagnosis of manufacturing system. The proposed approach shows great potential for improving overall production efficiency, while reducing the cost of maintenance.
manufacturing system remote monitoring fault diagnosis information fusion
ZAN Tao WANG Min HU Jianzhong LIU Xiao
Beijing Key Lab for Advanced Manufacturing Technology, School of Mechanical Engineering,Beijing Univ Beijing Key Lab for Advanced Manufacturing Technology, School of Mechanical Engineering,Beijing Univ Department of Science and Technology, Beijing University of Technology,Beijing 100124
国际会议
湘潭
英文
229-233
2011-07-19(万方平台首次上网日期,不代表论文的发表时间)