scholarly journals Autonomous Electrical System Monitoring and Control Strategies to Avoid Oversized Storage Capacity

Author(s):  
T T Vu Hong ◽  
Benoit Delinchant ◽  
Jérôme Ferrari ◽  
Quang D Nguyen
2021 ◽  
Vol 309 ◽  
pp. 01121
Author(s):  
G Sandhya Rani ◽  
U Vijaya Laxmi ◽  
P Srividya Devi ◽  
M Naga Sandhya Rani

The objective of this paper is to monitor the electrical parameters like voltage, current, etc., remotely and display all the obtained real time values for a substation isolate. This paper is furnished to assure the load and electrical system equipment by the activation of relay, whenever the acquired parameters exceed the predefined values. Generally, this Proposed system design makes use of microcontroller, but the prototype of this circuit modelled in Proteus and can be executed by using ATmega 168 microcontroller. When supply is given to the designed hardware, all the sensors start sensing their respective parameters i. e., voltage, current, temperature etc., and modernize all the values on the display. Comparison between the problem-solving time values and the preordained values is continuously carried out by the microcontroller, if any of these values go beyond the pre-defined values, it sends fault alert to the relay, updates it on the screen and sends the same as an SMS through GSM for the rectification.


2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.


Author(s):  
L D Seneviratne ◽  
F A Ngemoh ◽  
S W E Earles ◽  
K A Althoefer

The results of a theoretical study of the self-tapping screw insertion process are presented. Fundamental concepts of engineering mechanics are employed to analyse the axial torque required to complete a general self-tapping screw insertion operation. Equations for the screw insertion torque as a function of screw, hole and material properties are presented. Experimental results for torque signature signals are compared with the predictions of the theoretical model, confirming the validity of the model. The theoretical model provides a basis for developing automated monitoring and control strategies for self-tapping screw fastenings.


2015 ◽  
Vol 21 (4) ◽  
pp. 18-26 ◽  
Author(s):  
Anna Maria Galli ◽  
Paola Gualeni ◽  
Giuseppe Stranieri ◽  
Stefano Qualich ◽  
Giovanni Cusano

Abstract The rising cost of fuel, the more and more severe international standards and a growing awareness of the environmental impact of pollutant emissions have led energy efficiency to become a theme of great interest in the marine sector. The strategy for increasing energy efficiency may refer both to the consumption reduction and to the increase of energy recovery systems. This need turns out in monitoring and control strategies for energy processes on board. Monitoring information is recorded and stocked in a database, that needs to be analyzed to find out patterns in large data sets. A huge amount of data, from a RO-PAX ship, has been analyzed in order to gain a further insight into ship performances. Improvements in ship energy performances could be reached with an intense study of the historical data of the vessel attitude.


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