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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cuiling Li Rongyong Zhao Yang Xiang Shanlin Xu |
| Copyright Year | 2008 |
| Description | Author affiliation: Electr. Eng. & Autom. Dept., Shanghai Maritime Univ., Shanghai, China (Cuiling Li; Yang Xiang; Shanlin Xu) || CIMS Res. Center, Tongji Univ. Shanghai, Shanghai, China (Rongyong Zhao) |
| Abstract | To discover process planning knowledge for ship virtual assembly, a novel data mining approach is proposed based on rough set theory. The present achievements about data mining with rough set theory and virtual assembly technology for shipbuilding are studied respectively. The current Petri net model for ship assembly is analyzed. A new transform model from Petri net to rough set theory is presented. Thereby a systematical approach is proposed based on the present process planning platform for shipbuilding and three dimension virtual assembly software. Finally, a data mining example from engineering of ship engine assembly illustrates that this approach is feasible. Some meaningful assembly knowledge is discovered. The dependence on operational experience of human-being can be reduced and the efficiency of ship virtual assembly can be enhanced obviously. |
| Starting Page | 128 |
| Ending Page | 132 |
| File Size | 163076 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769535081 |
| DOI | 10.1109/CIS.2008.126 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design automation Virtual environment Computer aided manufacturing Computer integrated manufacturing Process planning data mining virtual assembly Data mining shipbuilding Virtual reality Set theory rough set theory Marine vehicles Assembly Petri net |
| Content Type | Text |
| Resource Type | Article |
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