报告详情
Selective assembly of rolling element bearings based on pointer network
编号：169
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更新：2024-10-23 10:02:36 浏览：35次
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摘要
Radial clearance is an important quality indicator for deep groove ball bearings and cylindrical roller bearings. Given a batch of components, including outer rings, inner rings and rolling elements, with different sizes due to the manufacturing error, selective assembly is a critical process to properly combine these components to obtained qualified bearings as many as possible. In this work, a method based on pointer network is proposed to address the precise selective assembly of bearing components. A graph embedding layer is employed to model all the components as graph nodes and their possible relationship as edges. The pointer network is trained to generate a sequence representing the assembly relationship of components, with the objective of maximizing the assembly rate and minimizing the bias with respect to the best clearance. Compared with traditional intelligent optimization method, such as genetic algorithm, which can also be used to approximate solutions for the selective assembly of bearing components, the proposed method outperforms with better generalization capability, it can be trained using a small-batch of data and be applied for a much large batch problem without losing accuracy and significant increasing the computational time.
关键词
Rolling element bearings,selective assembly,clearance,point network
报告人
YangZhe
Prof. Dongguan University of Technology稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
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- Mrs. icsmd
- ic******@163.com
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