Variable processing time prediction method considering the equipment deterioration

被引：0
|
作者：
Pei F. [1 ,2 ]
Zhang J. [1 ]
Liu J. [2 ]
Zhuang C. [2 ]
机构：
[1] College of Mechanical and Electrical Engineering, Hohai University, Changzhou
[2] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 03期
关键词：
BiGCU-MHResAtt-Weibull model; equipment deterioration; remaining useful life; variable processing time prediction;
D O I：
10.13196/j.cims.2023.0690
中图分类号：
学科分类号：
摘要：
In response to the issue of the fixed standard results for process time at different stages of service life, a variable process time prediction method considering equipment degradation is proposed. For one single condition, a process time prediction method based on the BiGCU-MHResAtt model is constructed, with local features extracted in conjunction with BiGCU. Multiple head residual self-attention networks capture the influence relationships between different features, and a fully connected layer optimizes the Remaining Useful Life (RUL) while implementing machining time rate prediction through the Weibull probability distribution function. For multiple working conditions, a large dataset and feature transfer model are designed in combination with the single working condition model. Clustering and curve fitting are employed to generate a machining time prediction spectrum. Finally, the effectiveness of the proposed method is validated through model training and prediction by using the C-MAPSS dataset. © 2024 CIMS. All rights reserved.
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页码：906 / 916
页数：10
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