Fault tolerance in partitioned manufacturing networks |
| |
| Authors: | Anders Adlemo Sven-Arne Andréasson |
| |
| Affiliation: | (1) Department of Computer Engineering, Chalmers University of Technology, S-412 96 Göteborg, Sweden;(2) Department of Computer Science, Chalmers University of Technology, S-412 96 Göteborg, Sweden |
| |
| Abstract: | Fault tolerance is especially important for computer systems that require a high degree of confidence. Computer Integrated Manufacturing (CIM) is an area where computer systems must not be disturbed by uncontrolled failures. This article deals with two problems that are related to fault tolerance and network partitions in automated manufacturing systems.The first problem relates to the distribution of information in partitioned data networks in CIM systems. We indicate how to overcome this problem by using the material network as a redundant data network:The second problem relates to fault detection and diagnosis in manufacturing systems. The problem is whether the indication of a fault means that a production unit itself has actually broken down, or that the indication is instead due to disturbances in the transmission of material. That is, the production unit continues to operate propcrly despite indications to the contrary. We describe how the material network can be used for detection and diagnosis. |
| |
| Keywords: | Caches computer integrated manufacturing distributed computing systems dynamic configuration fault detection fault diagnosis fault tolerance network partitioning quasi-partitioning |
| 本文献已被 SpringerLink 等数据库收录！ |
