Online Monitoring and Control Method of Product Quality Based on Embedded Cyber-Physical System Models

2017 ◽  
Vol 53 (12) ◽  
pp. 94 ◽  
Author(s):  
Gang XU
Keyword(s):  
Product Quality ◽  
Physical System ◽  
Online Monitoring ◽  
Control Method ◽  
Cyber Physical System ◽  
Monitoring And Control ◽  
System Models ◽  
And Control

Social factory as a production node of social manufacturing

2019 ◽  
Vol 233 (14) ◽  
pp. 5144-5160 ◽  
Author(s):  
Chao Liu ◽  
Pingyu Jiang
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
Production Network ◽  
Monitoring And Control ◽  
The Social ◽  
Core Concepts ◽  
Social Factory ◽  
Smart Workpiece ◽  
System Nodes ◽  
And Control

Social factory is served as the production node of social manufacturing communities/network to make manufacturing factories shift to the internet-based ones. The social factory aims to deal with fast-changing production requirements, sharing and competing of product orders, flexible resource configuration, ubiquitous interconnections, and real-time production monitoring and control. To achieve these visions, an extended cyber-physical system-enabled social factory model is proposed by integrating current cyber-physical system with machining equipment, social sensors, and smart workpieces. Within the proposed social factory model, the system framework and runtime logic are presented, and some core concepts such as extended cyber-physical system node, social sensor, and smart workpiece are clarified. Based on that, the social factory model is implemented by developing diverse extended cyber-physical system nodes and then connecting them with humans to form a collaborative production network where humans can access and control the machines anywhere and anytime. To validate the proposed social factory framework, a flexible production line in our lab is regarded as an extended cyber-physical system-enabled social factory to demonstrate the decentralized production interaction and cooperation.

scholarly journals VeriPhy: verified controller executables from verified cyber-physical system models

2018 ◽  
Vol 53 (4) ◽  
pp. 617-630 ◽  
Author(s):  
Brandon Bohrer ◽  
Yong Kiam Tan ◽  
Stefan Mitsch ◽  
Magnus O. Myreen ◽  
André Platzer
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
System Models

Observer Design for State Estimation of UV Curing Processes

2014 ◽  
Author(s):  
Adamu Yebi ◽  
Beshah Ayalew ◽  
Satadru Dey
Keyword(s):  
State Estimation ◽  
Online Monitoring ◽  
Uv Curing ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
State Observers ◽  
State Measurement ◽  
And Control

This article discusses the challenges of non-intrusive state measurement for the purposes of online monitoring and control of Ultraviolet (UV) curing processes. It then proposes a two-step observer design scheme involving the estimation of distributed temperature from boundary sensing cascaded with nonlinear cure state observers. For the temperature observer, backstepping techniques are applied to derive the observer partial differential equations along with the gain kernels. For subsequent cure state estimation, a nonlinear observer is derived along with analysis of its convergence characteristics. While illustrative simulation results are included for a composite laminate curing application, it is apparent that the approach can also be adopted for other UV processing applications in advanced manufacturing.

scholarly journals Metode DMAIC Sebagai Solusi Pengendalian Kualitas Produksi Sepatu Tambang: Studi Kasus PT Mangul Jaya-Bekasi

2012 ◽  
Vol 3 (1) ◽  
pp. 509
Author(s):  
Hendy Tannady Tan
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Control Method ◽  
Phase Measurement ◽  
Process Capability ◽  
Improvement Method ◽  
Measuring Tool ◽  
And Control ◽  
Quality Improvement Method

One way to increase profitability internally in PT Mangul Jaya - Bekasi is decreasing any costs produced from poor product quality by producing shoes with good quality. This study uses the DMAIC (define, measure, analyze, improve, control) method as a measuring tool. DMAIC is a quality improvement method that directly solves any problems related to the quality of a product even the primary cause of it. From the results of the study it is concluded that at the phase “define” shoes type Cheetah is the most problematic. Furthermore, on phase “measurement” it is identified that the Cp value of the Cheetah is below 1 which means that the process capability is low. After passing through the three sequencing steps (analyze, improve and control), finally this research is able to reduce the defects that occur in the shoes type Cheetah.

Online Monitoring System for Domestic Distribution Box

2015 ◽  
Vol 785 ◽  
pp. 236-240
Author(s):  
Tan Jen Hau ◽  
N.M. Nor ◽  
T. Ibrahim ◽  
H. Daud
Keyword(s):  
Parallel Processing ◽  
Monitoring System ◽  
Online Monitoring ◽  
Monitoring And Control ◽  
Upper Limit ◽  
Parallel Storage ◽  
Multiple Threads ◽  
Online Monitoring System ◽  
Sqlite Database ◽  
And Control

A new method for monitoring and control of domestic distribution box is proposed and developed for automated recovery of power continuity during interruption. The system automatically test each of the sockets to determine the source of the failure and isolate them. The data of the modified connection will be sent to the client through a server, wirelessly to notify the user the modifications made. Parallel processing via multi-threading in the server are used to increment the upper limit of TCP transmission's throughput. Multiple SQLite database are used by multiple threads for parallel storage of data to increase performance.

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