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
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