会议专题

Fault Prediction and Health Management for Mechanical Equipment Groups based on the Internet of Things

  Safety operation of mechanical equipment groups is of great importance to production and human resources as well as environment.In order to ensure safe operation and improve intelligent level of early fault prediction for key mechanical equipment groups,this paper proposes fault prediction and health management based on the internet of things with structure of three layers to realize comprehensive perception,reliable transmission and intelligent processing of the fault information from the mechanical equipment groups.Two key technologies like condition monitoring and fault prediction are analyzed and application prospects of fault prediction and health management for mechanical equipment groups based on the internet of things are presented in this paper.

mechanical equipment groups the internet of things prediction and health management fault prediction

Xiaoli XU Tao CHEN Yunbo ZUO Shaohong WANG

Beijing Information Science and Technology University, Beijing, China

国际会议

the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

台湾

英文

3925-3929

2011-12-11(万方平台首次上网日期,不代表论文的发表时间)