相关实验视频

Updated: Jan 8, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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一个机器学习辅助的截断自适应EWMA图表,用于稳健的过程监控

Abdullah A Zaagan1, Hassan M Aljohani2, Hamad Zogan3

  • 1Department of Mathematics, Faculty of Science, Jazan University, P.O. Box 2097, Jazan, 45142, Kingdom of Saudi Arabia.

Scientific reports
|December 23, 2025
PubMed
概括

一个新的混合机器学习辅助的截断自适应EWMA (ML-TAE) 图表通过减少错误报警和检测比传统方法更快的转移来改善过程控制. 这种机器学习方法提高了受污染数据的平均运行长度 (ARL) 的稳定性.

关键词:
适应性EWMA是一个适应性EWMA.异常检测检测异常检测机器学习是机器学习.蒙特卡洛模拟的蒙特卡洛模拟异常处理是异常处理.强大的控制图表.统计过程控制 (SPC)

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