Transformer Active Part Fault Assessment Using Internet of Things

Nauryzbay Mussin, Aidar Suleimen, Temirlan Akhmenov, Nurzhan Amanzholov, Venera Nurmanova, Mehdi Bagheri, Mohammad S. Naderi, Oveis Abedinia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Faults in distribution and power transformers jeopardize stability of the power network. Hence, various diagnosis techniques are implemented in order to prevent or at least detect transformer integrity violations. The majority of diagnosis techniques are functioning off-line and requires transformer disconnection from the power line. This is certainly undesirable for utility management and customer. Therefore, on-line or online diagnosis is more preferable and faster than off-line monitoring procedure. The aim of this study is to implement transformer real-time diagnosis technique based on the analysis of the vibrational signal spectrum. It is supposed that vibrational signature of the transformer is transferred and processed over the cloud environment using Internet of Things (IoT), and then the prognosis algorithm is executed over portable device.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-174
Number of pages6
ISBN (Electronic)9781538659281
DOIs
Publication statusPublished - Sep 28 2018
Event2nd International Conference on Computing and Network Communications, CoCoNet 2018 - Astana, Kazakhstan
Duration: Aug 15 2018Aug 17 2018

Conference

Conference2nd International Conference on Computing and Network Communications, CoCoNet 2018
CountryKazakhstan
CityAstana
Period8/15/188/17/18

Keywords

  • Cloud system
  • Internet of Things (IoT)
  • Transformer diagnosis
  • Vibrational signal analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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