IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection
The three phase fault detector and analyse system is designed to differentiate the type of fault occur in power system, enhanced with the Internet of Things (IoT)by using the combinations of Arduino and Wi-Fi module. All sorts of electrical substation that supply the electric to the users like indu...
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my.unimas.ir.283042021-04-08T03:04:52Z http://ir.unimas.my/id/eprint/28304/ IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection Buswig, Yonis.M.Yonis Norain, Binti Sahari Faridah Hanim, Binti Mohd Noh Sim, Syi Li Nur Najiha, Binti Jembari Wahyu, Mulyo Utomo Nooradzianie, Muhammad Zin Nor Aira, Zambri Farahiyah, Mustafa Lam, Hong Yin TK Electrical engineering. Electronics Nuclear engineering The three phase fault detector and analyse system is designed to differentiate the type of fault occur in power system, enhanced with the Internet of Things (IoT)by using the combinations of Arduino and Wi-Fi module. All sorts of electrical substation that supply the electric to the users like industrial or residential may have some failures due to fault that may be temporary or permanent. However, due to problemslike system take a longer time to detect the type of fault and also required manually to reset off the fault make the existing protection system not efficient in supply energy to consumer. The system can be used three single phase transformers those are wired in star input and star output also three transformers are connected in star input and delta output that having 240 volts input and 12 volts output. Then, ESP NodeMCU is used as controller and also act as device that connect to the IoT system when fault is detected. The devices then link with the Blynk application. User will get the notification from Blynk application when the fault is occurred. Using these devices, user could find automatically after a short-lived interruption in a provisional fault from the tripped situation in case of eternal fault. FAZ Publishing 2019-11-11 Article PeerReviewed text en http://ir.unimas.my/id/eprint/28304/1/Buswig%20Yonis%20M%20Yonis.pdf Buswig, Yonis.M.Yonis and Norain, Binti Sahari and Faridah Hanim, Binti Mohd Noh and Sim, Syi Li and Nur Najiha, Binti Jembari and Wahyu, Mulyo Utomo and Nooradzianie, Muhammad Zin and Nor Aira, Zambri and Farahiyah, Mustafa and Lam, Hong Yin (2019) IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection. Journal of Electrical Power and Electronics Systems, 1 (2). pp. 1-6. ISSN 2672-734X https://fazpublishing.com/jepes/index.php/jepes/article/view/16 |
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TK Electrical engineering. Electronics Nuclear engineering Buswig, Yonis.M.Yonis Norain, Binti Sahari Faridah Hanim, Binti Mohd Noh Sim, Syi Li Nur Najiha, Binti Jembari Wahyu, Mulyo Utomo Nooradzianie, Muhammad Zin Nor Aira, Zambri Farahiyah, Mustafa Lam, Hong Yin IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
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The three phase fault detector and analyse system is designed to differentiate the type of fault occur in power system, enhanced with the Internet of Things (IoT)by using the combinations of Arduino and Wi-Fi module. All sorts of electrical substation that supply the electric to the users like industrial or residential may have some failures due to fault that may be temporary or permanent. However, due to problemslike system take a longer time to detect the type of fault and also required manually to reset off the fault make the existing protection system not efficient in supply energy to consumer. The system can be used three single phase transformers those are wired in star input and star output also three transformers are connected in star input and delta output that having 240 volts input and 12 volts output. Then, ESP NodeMCU is used as controller and also act as device that connect to the IoT system when fault is detected. The devices then link with the Blynk application. User will get the notification from Blynk application when the fault is occurred. Using these devices, user could find automatically after a short-lived interruption in a provisional fault from the tripped situation in case of eternal fault. |
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Article |
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Buswig, Yonis.M.Yonis Norain, Binti Sahari Faridah Hanim, Binti Mohd Noh Sim, Syi Li Nur Najiha, Binti Jembari Wahyu, Mulyo Utomo Nooradzianie, Muhammad Zin Nor Aira, Zambri Farahiyah, Mustafa Lam, Hong Yin |
author_facet |
Buswig, Yonis.M.Yonis Norain, Binti Sahari Faridah Hanim, Binti Mohd Noh Sim, Syi Li Nur Najiha, Binti Jembari Wahyu, Mulyo Utomo Nooradzianie, Muhammad Zin Nor Aira, Zambri Farahiyah, Mustafa Lam, Hong Yin |
author_sort |
Buswig, Yonis.M.Yonis |
title |
IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
title_short |
IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
title_full |
IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
title_fullStr |
IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
title_full_unstemmed |
IoT Based Three Phase Fault Analysis for Temporary and Permanent Fault Detection |
title_sort |
iot based three phase fault analysis for temporary and permanent fault detection |
publisher |
FAZ Publishing |
publishDate |
2019 |
url |
http://ir.unimas.my/id/eprint/28304/1/Buswig%20Yonis%20M%20Yonis.pdf http://ir.unimas.my/id/eprint/28304/ https://fazpublishing.com/jepes/index.php/jepes/article/view/16 |
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1696979500227624960 |
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13.160551 |