scholarly journals RT-DAP: A Real-Time Data Analytics Platform for Large-Scale Industrial Process Monitoring and Control

2018 ◽  
Author(s):  
Song Han ◽  
Tao Gong ◽  
Mark Nixon ◽  
Eric Rotvold ◽  
Kam-Yiu Lam ◽  
...  
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Data Analytics ◽  
Large Scale ◽  
Industrial Process ◽  
Monitoring And Control ◽  
Time Data ◽  
Real Time Data ◽  
Process Monitoring And Control ◽  
And Control

Using the OPC Standard for Real-Time Process Monitoring and Control

IEEE Software ◽  
2005 ◽  
Vol 22 (6) ◽  
pp. 54-59 ◽  
Author(s):  
Jun Liu ◽  
Khiang Wee Lim ◽  
Weng Khuen Ho ◽  
Kay Chen Tan ◽  
Arthur Tay ◽  
...  
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Time Process ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
And Control

Modular CNC Design for Intelligent Machining, Part 2: Modular Integration of Sensor Based Milling Process Monitoring and Control Tasks

1996 ◽  
Vol 118 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Y. Altintas¸ ◽  
W. K. Munasinghe
Keyword(s):  
Process Control ◽  
Real Time ◽  
Process Monitoring ◽  
Tool Path ◽  
Position Control ◽  
Milling Process ◽  
Machining Process ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
And Control

Modular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.

scholarly journals Flow virometry for process monitoring of live virus vaccines-lessons learned from ERVEBO

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Geoffri Ricci ◽  
Kevin Minsker ◽  
Austin Kapish ◽  
James Osborn ◽  
Sha Ha ◽  
...  
Keyword(s):  
Process Monitoring ◽  
Large Scale ◽  
Ebola Virus ◽  
Process Development ◽  
Lessons Learned ◽  
Monitoring And Control ◽  
Live Virus ◽  
Virus Particles ◽  
Process Monitoring And Control ◽  
And Control

AbstractDirect at line monitoring of live virus particles in commercial manufacturing of vaccines is challenging due to their small size. Detection of malformed or damaged virions with reduced potency is rate-limited by release potency assays with long turnaround times. Thus, preempting batch failures caused by out of specification potency results is almost impossible. Much needed are in-process tools that can monitor and detect compromised viral particles in live-virus vaccines (LVVs) manufacturing based on changes in their biophysical properties to provide timely measures to rectify process stresses leading to such damage. Using ERVEBO, MSD’s Ebola virus vaccine as an example, here we describe a flow virometry assay that can quickly detect damaged virus particles and provide mechanistic insight into process parameters contributing to the damage. Furthermore, we describe a 24-h high throughput infectivity assay that can be used to correlate damaged particles directly to loss in viral infectivity (potency) in-process. Collectively, we provide a set of innovative tools to enable rapid process development, process monitoring, and control strategy implementation in large scale LVV manufacturing.

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