The mould-repair knowledge finding for injection mould based on fuzzy rule induction using group method data handling
WANG Yi1,2, CHEN Qing-Xin1, MAO Ning1
1. School of Mechanical and Electronic Engineering, Guangdong University of Technology, Guangzhou 510090, China;
2. Department of Mechanic and Electronic Engineering,
Abstract Mould-repair is an important task in the mould production and depends especially upon the experience of the engineer. How to find and conclude the knowledge of mould repair is an important problem for all the mould manufacturers in the industry. Using the fuzzy rules induction to help the technician establishing the mould-repair project was put forward. The main design idea and the realization process of this algorithm have been analyzed. At last the rules about the defect of “flashing” were concluded by the knowledgeminer software. Results show that the rules are consistent with the facts. The correct rate is about 84%．
WANG Yi, CHEN Qing-Xin, MAO Ning. The mould-repair knowledge finding for injection mould based on fuzzy rule induction using group method data handling. Chinese Journal of Engineering Design, 2010, 17(3): 168-172.
