This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations.Since real-time production process monitoring is critical in today’s smart ...This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations.Since real-time production process monitoring is critical in today’s smart manufacturing.The more robust the monitoring model,the more reliable a process is to be under control.In the past,many researchers have developed real-time monitoring methods to detect process shifts early.However,thesemethods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties.In this paper,a robust monitoring model combining Gated Recurrent Unit(GRU)and Random Forest(RF)with Real-Time Contrast(RTC)called GRU-RF-RTC was proposed to detect process shifts rapidly.The effectiveness of the proposed GRU-RF-RTC model is first evaluated using multivariate normal and nonnormal distribution datasets.Then,to prove the applicability of the proposed model in a realmanufacturing setting,the model was evaluated using real-world normal and non-normal problems.The results demonstrate that the proposed GRU-RF-RTC outperforms other methods in detecting process shifts quickly with the lowest average out-of-control run length(ARL1)in all synthesis and real-world problems under normal and non-normal cases.The experiment results on real-world problems highlight the significance of the proposed GRU-RF-RTC model in modern manufacturing process monitoring applications.The result reveals that the proposed method improves the shift detection capability by 42.14%in normal and 43.64%in gamma distribution problems.展开更多
为解决控制室对集水井、蓄水池长距离安全通讯问题,设计了离散控制系统,给出监控组态系统(MCGS:Monitor and Control Generated System)的属性接口、方法接口、采集程序界面设置、电流/功率采集程序设计方法及硬件拓扑。该系统上位机采...为解决控制室对集水井、蓄水池长距离安全通讯问题,设计了离散控制系统,给出监控组态系统(MCGS:Monitor and Control Generated System)的属性接口、方法接口、采集程序界面设置、电流/功率采集程序设计方法及硬件拓扑。该系统上位机采用性价极佳的研华工业控制机(IPC-610H),下位机为标准控制系列模块ADAM-4000,以PROFIBUS为通信系统,巡检及调节过程控制采用MCGS。利用MCGS设备驱动程序库中与ADAM-4000设备配套的设备驱动程序,只需将属性接口和方法接口相应参数根据实际情况略加修改即可,从而使系统在提高反映敏感度的同时减少了硬件设计的费用及软件开发的工作量。展开更多
基金support from the National Science and Technology Council of Taiwan(Contract Nos.111-2221 E-011081 and 111-2622-E-011019)the support from Intelligent Manufacturing Innovation Center(IMIC),National Taiwan University of Science and Technology(NTUST),Taipei,Taiwan,which is a Featured Areas Research Center in Higher Education Sprout Project of Ministry of Education(MOE),Taiwan(since 2023)was appreciatedWe also thank Wang Jhan Yang Charitable Trust Fund(Contract No.WJY 2020-HR-01)for its financial support.
文摘This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations.Since real-time production process monitoring is critical in today’s smart manufacturing.The more robust the monitoring model,the more reliable a process is to be under control.In the past,many researchers have developed real-time monitoring methods to detect process shifts early.However,thesemethods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties.In this paper,a robust monitoring model combining Gated Recurrent Unit(GRU)and Random Forest(RF)with Real-Time Contrast(RTC)called GRU-RF-RTC was proposed to detect process shifts rapidly.The effectiveness of the proposed GRU-RF-RTC model is first evaluated using multivariate normal and nonnormal distribution datasets.Then,to prove the applicability of the proposed model in a realmanufacturing setting,the model was evaluated using real-world normal and non-normal problems.The results demonstrate that the proposed GRU-RF-RTC outperforms other methods in detecting process shifts quickly with the lowest average out-of-control run length(ARL1)in all synthesis and real-world problems under normal and non-normal cases.The experiment results on real-world problems highlight the significance of the proposed GRU-RF-RTC model in modern manufacturing process monitoring applications.The result reveals that the proposed method improves the shift detection capability by 42.14%in normal and 43.64%in gamma distribution problems.
文摘为解决控制室对集水井、蓄水池长距离安全通讯问题,设计了离散控制系统,给出监控组态系统(MCGS:Monitor and Control Generated System)的属性接口、方法接口、采集程序界面设置、电流/功率采集程序设计方法及硬件拓扑。该系统上位机采用性价极佳的研华工业控制机(IPC-610H),下位机为标准控制系列模块ADAM-4000,以PROFIBUS为通信系统,巡检及调节过程控制采用MCGS。利用MCGS设备驱动程序库中与ADAM-4000设备配套的设备驱动程序,只需将属性接口和方法接口相应参数根据实际情况略加修改即可,从而使系统在提高反映敏感度的同时减少了硬件设计的费用及软件开发的工作量。
