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
- G. Hemamalini, V. Maniraj, Enhanced otpmization based support vector machine classification approach for the detection of knee arthritis , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- P. Ananthi, A. Chandrabose, The socio-technical opportunities and threats of crowdsensing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Raghvendra, Tulika Saxena, Saurabh Verma, Rashi Saxena, Smita Dron, Shilpi Singh, Combination of financial literacy, strategic marketing and effective human resource for sustainable household wealth development , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Nisha Patil, Archana Bhise, Rajesh K. Tiwari, Fusion deep learning with pre-post harvest quality management of grapes within the realm of supply chain management , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Anita M, Shakila S, Stochastic kernelized discriminant extreme learning machine classifier for big data predictive analytics , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ayalew Ali, Sitotaw Wodajo, Taye Teshoma, The link between corporate governance and earnings management of insurance companies in Ethiopia , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- KIRAN DIMRI, N.K. SHARMA, SEED GERMINATION OF ANACYCLUS PYRETHRUMD.C. IN EXPERIMENTAL FIELD , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Bajeesh Balakrishnan, Swetha A. Parivara, E-HRM: Learning approaches, applications and the role of artificial intelligence , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- G. C. Sowparnika, D. A. Vijula, Modeling and control of boiler in thermal power plant using model reference adaptive control , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.
