Recent Advances on Advanced Prognostics and Trends of Intelligent Maintenance Systems
Predictive maintenance (or prognostics) is critical to any engineering systems to avoid system breakdown, in particular, for complex systems. With the recent advances on pervasive computing, prognostics can be easily embedded in any devices and systems. When smart machines are networked and remotely monitored, and when their data is modeled and continually analyzed with sophisticated embedded systems, it is possible to go beyond mere predictive maintenance to intelligent prognostics, the process of pinpointing exactly which components of a machine are likely to fail, and when and autonomously trigger service and order spare parts.This paper addresses the paradigm shift in modem maintenance systems from traditional fail and fix practices to predict and prevent methodology. Recent advances on prognostic technologies and tools are discussed. In addition, case studies are used to validate f these developed technologies and tools.
diagnostics prognostics machine performance assessment predictive maintenance
Jay Lee
Ohio Eminent Scholar and L. W. Scott Alter Chair & Director of NSF Center for Intelligent Maintenance Systems (IMS) Univ. of Cincinnati, USA
国际会议
The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)
成都
英文
292-307
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）