TY - JOUR
T1 - Research and implementation of MBD dataset definition based on association rules
AU - Wang, Hong
AU - Yu, Yong
AU - Yin, Pu
AU - Zhao, Gang
AU - Wang, Wei
N1 - Publisher Copyright:
© 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - A model based definition (MBD) dataset definition method based on the association rules was proposed to meet the requirement of product full three dimensional digitalization development. Firstly, this method thoroughly decomposed all the design, manufacturing and inspection standards used in the product's development process. All the standard operation method, order and requirement (engineering note items) of all the standards were uniformly encoded, managed and released by the computer. Secondly, the association rule was utilized to mine the MBD dataset's creation history records, by which the potential association relationships among engineering note items can be revealed. Finally, based on the association relationships among engineering note items, the proper engineering note items can be pushed out as needed in the process of MBD creation. The proposed method uses the association rule theory in data mining as its basis, exploiting the helpful knowledge and experiences obtained from MBD dataset's creation history, thus is capable of improving the MBD dataset's creation efficiency by engineering note items recommendation.
AB - A model based definition (MBD) dataset definition method based on the association rules was proposed to meet the requirement of product full three dimensional digitalization development. Firstly, this method thoroughly decomposed all the design, manufacturing and inspection standards used in the product's development process. All the standard operation method, order and requirement (engineering note items) of all the standards were uniformly encoded, managed and released by the computer. Secondly, the association rule was utilized to mine the MBD dataset's creation history records, by which the potential association relationships among engineering note items can be revealed. Finally, based on the association relationships among engineering note items, the proper engineering note items can be pushed out as needed in the process of MBD creation. The proposed method uses the association rule theory in data mining as its basis, exploiting the helpful knowledge and experiences obtained from MBD dataset's creation history, thus is capable of improving the MBD dataset's creation efficiency by engineering note items recommendation.
KW - Association rules
KW - Data mining
KW - Engineering note items
KW - Model based definition (MBD) dataset
KW - Recommendation
UR - https://www.scopus.com/pages/publications/84954483359
U2 - 10.13700/j.bh.1001-5965.2014.0819
DO - 10.13700/j.bh.1001-5965.2014.0819
M3 - 文章
AN - SCOPUS:84954483359
SN - 1001-5965
VL - 41
SP - 2377
EP - 2383
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 12
ER -