Article ID Journal Published Year Pages File Type
1698577 Procedia CIRP 2016 5 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Engineering Industrial and Manufacturing Engineering
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