期刊文献+

Advanced Data Collection and Analysis in Data‑Driven Manufacturing Process

在线阅读 免费下载
收藏 分享 导出
摘要 The rapidly increasing demand and complexity of manufacturing process potentiates the usage of manufacturing data with the highest priority to achieve precise analyze and control,rather than using simplified physical models and human expertise.In the era of data-driven manufacturing,the explosion of data amount revolutionized how data is collected and analyzed.This paper overviews the advance of technologies developed for in-process manufacturing data collection and analysis.It can be concluded that groundbreaking sensoring technology to facilitate direct measurement is one important leading trend for advanced data collection,due to the complexity and uncertainty during indirect measurement.On the other hand,physical model-based data analysis contains inevitable simplifications and sometimes ill-posed solutions due to the limited capacity of describing complex manufacturing process.Machine learning,especially deep learning approach has great potential for making better decisions to automate the process when fed with abundant data,while trending data-driven manufacturing approaches succeeded by using limited data to achieve similar or even better decisions.And these trends can demonstrated be by analyzing some typical applications of manufacturing process.
出处 《中国机械工程学报:英文版》 SCIE EI CAS CSCD 2020年第3期32-52,共21页 Chinese Journal of Mechanical Engineering
基金 Supported by National Natural Science Foundation of China(Grant No.51805260) National Natural Science Foundation for Distinguished Young Scholars of China(Grant No.51925505) National Natural Science Foundation of China(Grant No.51775278).
  • 相关文献
论文智能改写系统
维普数据出版直通车
投稿分析
职称考试

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈