Profibus automation technology and its application in DP slave development

2005 ◽  
Author(s):  
Jun Xu ◽  
Yan-Jun Fang
Keyword(s):  
Automation Technology

PKM Peningkatan Kuantitas Dan Kualitas Produksi Bakpia Dan Nugget Tempe Melalui Pemanfaatan Teknologi Otomasi Di Desa Bangunharjo

2019 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Yohannes Anton Nugroho ◽  
Ari Zaqi Al Faritsy ◽  
Ari Sugiharto
Keyword(s):  
Quality Assurance ◽  
Production Capacity ◽  
Community Partnership ◽  
Economic Independence ◽  
Production Time ◽  
Industry Association ◽  
Processing Equipment ◽  
Automation Technology ◽  
Partnership Program

The Community Partnership Program in partnership with the Tani Rahayu Women's Group and the Bakpia Jurug Industry Association have succeeded in helping create economic independence. The results of this program are increased capacity and quality of production of bakpia and tempeh nuggets in the partner group. The implementation of mechanical and automation technology-based tools is able to increase the production capacity of tempe nuggets from 2 kg to 24 kg in a production time of 8 hours. While the implementation of the use of bakpia kumbu processing equipment was able to increase the production of 3 kg to 24 kg in a production time of 8 hours. The utilization of these tools has also been followed by quality assurance training and assistance, so that the quality of the products produced is uniform.

scholarly journals Demystifying data and AI for manufacturing: case studies from a major computer maker

2021 ◽  
Vol 10 ◽  
Author(s):  
Yi-Chun Chen ◽  
Bo-Huei He ◽  
Shih-Sung Lin ◽  
Jonathan Hans Soeseno ◽  
Daniel Stanley Tan ◽  
...  
Keyword(s):  
Training Data ◽  
Smart Manufacturing ◽  
Reliable System ◽  
Process Innovations ◽  
Optical Inspection ◽  
Technical Details ◽  
Automation Technology ◽  
Electronic Parts ◽  
Traditional Approaches ◽  
Inspection Machine

In this article, we discuss the backgrounds and technical details about several smart manufacturing projects in a tier-one electronics manufacturing facility. We devise a process to manage logistic forecast and inventory preparation for electronic parts using historical data and a recurrent neural network to achieve significant improvement over current methods. We present a system for automatically qualifying laptop software for mass production through computer vision and automation technology. The result is a reliable system that can save hundreds of man-years in the qualification process. Finally, we create a deep learning-based algorithm for visual inspection of product appearances, which requires significantly less defect training data compared to traditional approaches. For production needs, we design an automatic optical inspection machine suitable for our algorithm and process. We also discuss the issues for data collection and enabling smart manufacturing projects in a factory setting, where the projects operate on a delicate balance between process innovations and cost-saving measures.

Modeling and Analysis of Underwater Wet Weld Process Based on Regression Method

2013 ◽  
Vol 690-693 ◽  
pp. 2621-2624
Author(s):  
Bo Chen ◽  
Ji Cai Feng
Keyword(s):  
Weld Seam ◽  
Welding Process ◽  
Regression Method ◽  
Modeling And Analysis ◽  
Underwater Wet Welding ◽  
Underwater Environment ◽  
Arc Sensor ◽  
Weld Parameters ◽  
Automation Technology ◽  
Weld Automation

Underwater weld technology is urgently needed for the widely development of marine recourses, and weld automation technology is the inevitable choice because of the underwater environment. Because of the influence of the rigorous environment, the weld seam forming of underwater wet welding is very poor. To control the weld seam forming automatically, the model between the weld parameters and the weld seam shape must be built. This paper used arc sensor to monitor the electrical information of underwater wet welding process, and regression method was used to model the process, and the factors that influence the weld seam forming mostly were analyzed.

scholarly journals Wind integrated power system to reduce emission: An application of Bat algorithm

2021 ◽  
pp. 1-9 ◽  
Author(s):  
B. Venkateswara Rao ◽  
Ramesh Devarapalli ◽  
H. Malik ◽  
Sravana Kumar Bali ◽  
Fausto Pedro García Márquez ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Optimal Parameter ◽  
Electrical Power ◽  
Bat Algorithm ◽  
Voltage Profile ◽  
Electrical Power Systems ◽  
Generation Cost ◽  
Automation Technology

The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired Bat Algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. In addition, to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved.

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