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.
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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 -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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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.