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Paper Title

Conveyor belt fault detection using IOT

Authors

Jayshree Chandrakant Phad , Kajal Ananda Nagare , Shubhangi Rajendra Kalokhe , Alok R. Khanadare , Dipak Y. Thorat

Keywords

Conveyor belt, Automation, Microcontroller, Sensor, Proteus Simulation, Protection System, Feature Extraction

Abstract

Conveyors Belts are durable and reliable components used in the industries for transporting material. Conveyors producing single type of component at a time generally monitor and control a single type of object. However, if there are more objects, then another system needs to be developed. In order to control reasonably the acceleration and dynamic tension in emergency breaking process so as to assure smooth breaking and the security of conveyor system, accurate design techniques should be adopted, thus the dynamic simulation methods are required to research precisely the breaking performances of conveyor belt. Other applications are in food processing units, bottling plants, and wood log processing companies also make the study on economization of conveyor belt transfer as an important one. The System is design by using Arduino, Temperature Sensor, Vibration Sensor, Accelerometer and its interface wires. Dynamic model of the conveyor system on longitudinal vibration is established by finite elemental method and output data is visualize so that accurate design techniques may be used to Stability and Security of the conveyor belt during emergency control breaking.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Conveyor belt fault detection using IOT", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 3, page no.63 - 65, March-2019, Available :https://ijrti.org/papers/IJRTI1903015.pdf
APA — 7th edition
Phad, J. C., Nagare, K. A., Kalokhe, S. R., Khanadare, A. R., & Thorat, D. Y. (2019). Conveyor belt fault detection using IOT. International Journal for Research Trends and Innovation, 4(3), 63 - 65. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015
MLA — 9th edition
Phad, Jayshree Chandrakant, et al. "Conveyor belt fault detection using IOT." International Journal for Research Trends and Innovation, vol. 4, no. 3, 2019, pp. 63 - 65, https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015.
Chicago — 17th, bibliography
Phad, Jayshree Chandrakant, et al. "Conveyor belt fault detection using IOT." International Journal for Research Trends and Innovation 4, no. 3 (2019): 63 - 65. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015.
Harvard — author–date
Phad, J.C. et al. (2019) 'Conveyor belt fault detection using IOT', International Journal for Research Trends and Innovation, 4(3), pp. 63 - 65. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015
IEEE — numbered reference
J. C. Phad, K. A. Nagare, S. R. Kalokhe, A. R. Khanadare and D. Y. Thorat, "Conveyor belt fault detection using IOT," IJRTI, vol. 4, no. 3, pp. 63 - 65, Mar. 2019.
Vancouver — biomedical
Phad JC, Nagare KA, Kalokhe SR, Khanadare AR, Thorat DY. Conveyor belt fault detection using IOT. IJRTI. 2019 Mar;4(3):63 - 65.
AMA — 11th edition
Phad JC, Nagare KA, Kalokhe SR, Khanadare AR, Thorat DY. Conveyor belt fault detection using IOT. IJRTI. 2019;4(3):63 - 65. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1903015, author = {Jayshree Chandrakant Phad and Kajal Ananda Nagare and Shubhangi Rajendra Kalokhe and Alok R. Khanadare and Dipak Y. Thorat}, title = {Conveyor belt fault detection using IOT}, journal = {International Journal for Research Trends and Innovation}, volume = {4}, number = {3}, pages = {63 - 65}, year = {2019}, month = {March}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015} }
RIS — EndNote, RefWorks
TY - JOUR AU - Phad, Jayshree Chandrakant AU - Nagare, Kajal Ananda AU - Kalokhe, Shubhangi Rajendra AU - Khanadare, Alok R. AU - Thorat, Dipak Y. TI - Conveyor belt fault detection using IOT T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 4 IS - 3 PY - 2019 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1903015 SP - 63 EP - 65 ER -

Issue

Volume 4 Issue 3, March-2019
Pages : 63 - 65

Other Publication Details

Paper Reg. ID IJRTI_180740
Published Paper ID IJRTI1903015
Downloads 205,629
Research Area Engineering
Country Nashik, Maharashtra, India
Published March 2019

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2019 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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