DocumentCode :
2022877
Title :
The mould-repair knowledge inducing for injection mould based on fuzzy rule induction using group method data handling
Author :
Wang, Yi ; Chen, Qingxin ; Mao, Ning
Author_Institution :
Sch. of Mech. & Electron. Eng., Guangdong Univ. of Technol., Guangzhou, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2936
Lastpage :
2940
Abstract :
The injection mould repair projects are viewed as very important knowledge in many mould manufacturers. With the increase of injection mould repair projects, knowledge induction of mould repair becomes the key to using knowledge effectively in making injection mould repair projects. Using the fuzzy rules induction to induce the injection mould repair rules and help the technician establishing the mould-repair project is put forward. The main design idea and the realization process of this algorithm are analyzed. At last the rules about the defect of “flashing” were induced by the knowledgeminer software. Results showed that the rules are correct and according to the facts.
Keywords :
data handling; data mining; fuzzy set theory; groupware; injection moulding; maintenance engineering; production engineering computing; flashing defect; fuzzy rule induction; group method data handling; injection mould repair projects; mould-repair knowledge; Cavity resonators; Force; Fuzzy sets; Logic gates; Maintenance engineering; Plastics; Production; Fuzzy Rule Induction; Mould testing; Mould-repair knowledge inducing; defect of the plastic production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569074
Filename :
5569074
Link To Document :
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