Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring
Partial discharge is common phenomenon of partial breakdown inside or across the insulation, confined to a small crack or void (inside the insulation) or over the surface that cannot be seen roughly with eyes. In order to prevent that happens, needs to do inspection and monitoring for safety of t...
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Universiti Sains Malaysia
2017
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Online Access: | http://eprints.usm.my/53016/1/Development%20Of%20Iot%20System%20With%20Raspberry%20Pi%20For%20Switchgear%20Condition%20Monitoring_Muhammad%20Hafiz%20Azri%20Mohd%20Fouzi_E3_2017.pdf http://eprints.usm.my/53016/ |
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my.usm.eprints.53016 http://eprints.usm.my/53016/ Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring Fouzi, Muhammad Hafiz Azri Mohd T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Partial discharge is common phenomenon of partial breakdown inside or across the insulation, confined to a small crack or void (inside the insulation) or over the surface that cannot be seen roughly with eyes. In order to prevent that happens, needs to do inspection and monitoring for safety of the personnel and also to keep the high voltage equipment in well care. For this project, the combination of raspberry pi and several sensors was using to do monitoring via online so that the information about any high voltage equipment will be send through a user email. The sound sensor will take part for detecting sound of sparking inside the switchgear while thermistor will take part for sensing the temperature increase when the partial discharge occur. This method will be apply and tested. Universiti Sains Malaysia 2017-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53016/1/Development%20Of%20Iot%20System%20With%20Raspberry%20Pi%20For%20Switchgear%20Condition%20Monitoring_Muhammad%20Hafiz%20Azri%20Mohd%20Fouzi_E3_2017.pdf Fouzi, Muhammad Hafiz Azri Mohd (2017) Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik & Elektronik. (Submitted) |
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T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Fouzi, Muhammad Hafiz Azri Mohd Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
description |
Partial discharge is common phenomenon of partial breakdown inside or across
the insulation, confined to a small crack or void (inside the insulation) or over the
surface that cannot be seen roughly with eyes. In order to prevent that happens, needs to
do inspection and monitoring for safety of the personnel and also to keep the high
voltage equipment in well care. For this project, the combination of raspberry pi and
several sensors was using to do monitoring via online so that the information about any
high voltage equipment will be send through a user email. The sound sensor will take
part for detecting sound of sparking inside the switchgear while thermistor will take part
for sensing the temperature increase when the partial discharge occur. This method will
be apply and tested. |
format |
Monograph |
author |
Fouzi, Muhammad Hafiz Azri Mohd |
author_facet |
Fouzi, Muhammad Hafiz Azri Mohd |
author_sort |
Fouzi, Muhammad Hafiz Azri Mohd |
title |
Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
title_short |
Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
title_full |
Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
title_fullStr |
Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
title_full_unstemmed |
Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring |
title_sort |
development of iot system with raspberry pi for switchgear condition monitoring |
publisher |
Universiti Sains Malaysia |
publishDate |
2017 |
url |
http://eprints.usm.my/53016/1/Development%20Of%20Iot%20System%20With%20Raspberry%20Pi%20For%20Switchgear%20Condition%20Monitoring_Muhammad%20Hafiz%20Azri%20Mohd%20Fouzi_E3_2017.pdf http://eprints.usm.my/53016/ |
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