TY - GEN
T1 - A Recommendation System for Aircraft Parts Processing Methods Based on a Hybrid of Rules and Instances
AU - Qin, Linhao
AU - Luo, Yiran
AU - Ming, Zhenjun
AU - Zhang, Hongpeng
AU - Lu, Hu
AU - Chen, Wei
AU - Chen, Baoguo
AU - Ding, Yafeng
AU - Wen, Qin
AU - Lyu, Ruiqiang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Addressing the business logic and relevant requirements of process personnel during the selection stage of processing methods for aerospace structural parts, this paper introduces a recommendation system for aircraft parts processing methods based on a hybrid of rules and instances. Firstly, the typical features and processing methods of aircraft parts are defined, vectorized, and their feature similarity is calculated using the Euclidean distance method. Based on industry standards, a rule library for selecting processing methods is established to filter recommendation results. For the characteristics of the parts, the recommendation system retrieves the most similar features and their processing methods from the feature instance library for recommendation. Validation tests demonstrate that this recommendation system can effectively recommend suitable processing methods based on the features of aircraft parts.
AB - Addressing the business logic and relevant requirements of process personnel during the selection stage of processing methods for aerospace structural parts, this paper introduces a recommendation system for aircraft parts processing methods based on a hybrid of rules and instances. Firstly, the typical features and processing methods of aircraft parts are defined, vectorized, and their feature similarity is calculated using the Euclidean distance method. Based on industry standards, a rule library for selecting processing methods is established to filter recommendation results. For the characteristics of the parts, the recommendation system retrieves the most similar features and their processing methods from the feature instance library for recommendation. Validation tests demonstrate that this recommendation system can effectively recommend suitable processing methods based on the features of aircraft parts.
KW - feature similarity
KW - processing methods
KW - recommendation system
UR - http://www.scopus.com/inward/record.url?scp=85207094602&partnerID=8YFLogxK
U2 - 10.1109/CISAT62382.2024.10695202
DO - 10.1109/CISAT62382.2024.10695202
M3 - Conference contribution
AN - SCOPUS:85207094602
T3 - 2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
SP - 803
EP - 808
BT - 2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
Y2 - 12 July 2024 through 14 July 2024
ER -