| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1698577 | Procedia CIRP | 2016 | 5 Pages | 
Abstract
												The discipline between the assembly process and the final performance of complex mechanical system is unclear and the performance target is usually reached by experienced technicians. To find out the discipline and obtain the knowledge which may be hiding in the experience of technician, data mining technology is put forward to analyze the assembly data. By establishing the structure and procedure of the data mining process and encapsulating the data mining template of the assembly data, the knowledge of the discipline and assembly experience can be extracted through a case study. These knowledge can be used for assembly quality prediction, parameter optimization, process improvement and success rate increase.
Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
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											Authors
												Kai Zhang, Guoxi Li, JingZhong Gong, Meng Zhang, 
											