Using Data Mining Method for Constructing Intelligent Decision Rules ─An Example of PCB Process

Autor: Kai-Ping Wang, 王凱平
Rok vydání: 2017
Druh dokumentu: 學位論文 ; thesis
Popis: 105
This study collects process data from manufacturing environment and explores critical attributes. The C4.5 decision tree algorithm is employed to find the key parameter.The Apriori association rules algorithm is employed to find the association of key parameter and process defect.Combin the adventages of the decision tree and the association rules to construct intelligent decision rules. The results show that a fast printing velocity,fast conveyor speed and lead-free solder paste may result in open defects. On the other hand, slow printing velocity, damp environment and solder paste with insufficient reflow temperature may result significant short defects.
Databáze: Networked Digital Library of Theses & Dissertations