COMMON PLATFORM FOR MACHINE AND PROCESS HEALTH MONITORING
A flexible and configurable system architecture for monitoring the health of manufacturing processes and machines is presented. The objective of deploying such a monitoring system in a factory is to acquire, analyze and respond to machine and process data to reduce process variation, quality degradation and unplanned machine downtime with ultimate goal of reducing production costs.Most existing monitoring systems are configured for specialized applications that require specific sensor types and data rates, synchronization with machine control data, various analysis algorithms, and a human machine interface. As such, they are not readily reconfigured for factory deployment of new monitoring applications that evolve in R&D laboratories. To address these limitations, we present a common platform that integrates specialized sensors, machine data, part data, pattern recognition analysis tools and network connectivity. The reconfigurable sensing and changeable algorithms can be tailored for different sensor types and analysis algorithms that arise in different manufacturing processes, and are intended as both our development and deployment architecture. The initial applications are focused on metal cutting and computer aided manufacturing, and system can be tailored to other manufacturing areas.
Process Monitoring Machine Health Tool Condition Monitoring
Pu Liu Shixia Yan Donald Farquhar Roger Lindle David Smither
GE Global Research Center, 1800 Cailun Road, Shanghai, 201203, China. GE Global Research Center, One Research Circle, KWD-238, Niskayuna, NY 12309-1027, USA. Manufacturing & Quality Technology Department, GE Aviation, 1 Neumann Way, MD E74, Cincinnati, OH 45
国际会议
北京
英文
1019-1023
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）