Title
Design and implementation of an intelligent prognostics system
Abstract
This work proposes an intelligent prognostics system (IPS) for semiconductor and TFT-LCD manufacturing. The IPS comprises several generic embedded devices (GEDs) and a remote host. The GED can be easily embedded into various types of equipment to acquire equipment-engineering data and meet the specification requirements of interface A for supporting semiconductor industry e-diagnostics. Furthermore, the GED has an open-standard application interface offering any pluggable and customized intelligent-maintenance applications. With this feature, intelligent-maintenance tasks can be distributed and localized releasing the factory network burden and enhancing equipment reliability and maintainability. This work also develops two typical pluggable applications: the predictive maintenance scheme (PMS) for equipment fault detection, and the quality prognostics scheme (QPS) for virtual metrology and product quality prediction. Integrating the PMS into the IPS and the QPS into the IPS are respectively accomplished using the conveyor equipment and the sputtering equipment of a TFT-LCD factory. These two illustrative examples clearly demonstrate that IPS is versatile, configurable, and effective.
Year
DOI
Venue
2005
10.1109/COASE.2005.1506781
CASE
Keywords
Field
DocType
intelligent prognostics system,equipment fault detection,interface a,diagnostic expert systems,fault diagnosis,semiconductor device manufacture,generic embedded devices,tft-lcd manufacturing,embedded systems,maintenance engineering,liquid crystal displays,semiconductor manufacturing,predictive maintenance scheme,semiconductor industry e-diagnostics,indexing terms,open standard,predictive maintenance
Factory,Prognostics,Fault detection and isolation,Virtual metrology,Application interface,Engineering,Predictive maintenance,Maintenance engineering,Reliability engineering,Maintainability,Embedded system
Conference
ISBN
Citations 
PageRank 
0-7803-9425-9
1
0.40
References 
Authors
4
5
Name
Order
Citations
PageRank
Yu-Chuan Su18714.90
Fan-Tien Cheng260193.51
Min-Hsiung Hung313324.93
Yen-Chang Lin410.40
Rung-Chuan Lin5235.17