基于 JDA 的混合刀具磨损预测模型

IF 1.5 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hua Huang, Weiwei Yu, Jiajing Yao, Peidong Yang
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引用次数: 0

摘要

设计/方法/途径首先,利用联合分布自适应(JDA)对不同数据分布的数据特征进行自适应。然后,利用 KNN 分类器识别适应后的数据特征。结果铣削实验结果表明,该方法的最大预测精度为 95.13%,具有良好的识别精度和泛化性能。通过刀具磨损混合预测建模方法的应用,提高了模型的预测精度和泛化性能,实现了对刀具的监测。研究成果可为刀具磨损监测技术在实际工业应用中提供解决方案和理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid tool wear prediction model based on JDA

Purpose

Aiming at solving the problems of low prediction accuracy and poor generalization caused by the difference in tool wear data distribution and the fixation of single global model parameters, a hybrid prediction modeling method for tool wear based on joint distribution adaptation (JDA) is proposed.

Design/methodology/approach

Firstly, JDA is exploited to adapt the data features with different data distributions. Then, the adapted data features are identified by the KNN classifier. Finally, according to the tool state classification results, different regression prediction models are assigned to different wear stages to complete the whole tool wear prediction task.

Findings

The results of milling experiments show that the maximum prediction accuracy of this method is 95.13%, and it has good recognition accuracy and generalization performance. Through the application of the tool wear hybrid prediction modeling method, the prediction accuracy and generalization performance of the model are improved and the tool monitoring is realized.

Originality/value

The research results can provide solutions and a theoretical basis for the application of tool wear monitoring technology in practical industrial applications.

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来源期刊
Engineering Computations
Engineering Computations 工程技术-工程:综合
CiteScore
3.40
自引率
6.20%
发文量
61
审稿时长
5 months
期刊介绍: The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice. For more information visit: http://www.emeraldgrouppublishing.com/ec.htm
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