Automation of industrial machinerie
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.41Keywords:
Programmable logic controller, Human-machine interface, Variable-frequency drive, Internet of things, Virtual machines, Arduino.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In past two decades, the automation of industrial machines is proliferating. Fourth industrial revolution (Industry 4.0) also focuses on industrial automation and artificial intelligence. As every technology has its ebb and flow, industrial automation also has huge scope in future and its own limitations. One of the major issues is in troubleshooting the virtually controlled machine. The biscuit making and baking machines are controlled using PLC I/O and HMI. The errors are rectified by taking feedback from machine’s component connections and supply connections. This helps us in troubleshooting the faults occurring in the connections and components used.Abstract
How to Cite
Downloads
Similar Articles
- Dhulasi Priya S, Saranya K G, Significance of artificial intelligence in the development of sustainable transportation , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- R. Sridevi, V. S. J. Prakash, Load aware active low energy adaptive clustering hierarchy for IoT-WSN , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Aarthi Monalisa M, Anli Suresh, Adoptive bancassurance models transforming patronization among the insured , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Vaishali Yeole, Rushikesh Yeole, Pradheep Manisekaran, Analysis and prediction of stomach cancer using machine learning , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Gurpreet S. Saund, Kulandai Samy, Eco-critical dystopia and anthropocentrism in Margaret Atwood’s Oryx and Crake , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- P S Renjeni, B Senthilkumaran, Ramalingam Sugumar, L. Jaya Singh Dhas, Gaussian kernelized transformer learning model for brain tumor risk factor identification and disease diagnosis , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Esther Princess G, Navigating the challenges of moonlighting: A study of employee experiences in the FMCG sector in India , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Roshni Kanth, R Guru, Anusuya M A, Madhu B K, A comprehensive study of AI in test case generation: Analysing industry trends and developing a predictive model , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- A. Tamilmani, K. Muthuramalingam, An enhanced support vector machine bbased multiclass classification method for crop prediction , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- G GAYATHRI DEVI, Dr R Radha, Dark web exploitation of women and children: Understanding the phenomenon and combating its impact , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.
