Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment

Altynay Smagulova, Aigerim Borasheva, Nurtas Moldiyar, Nurbolat Bazarbek, Mehdi Bagheri, B. T. Phung

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

Abstract

Most transformer diagnosis methods can only be performed off-line when the transformer is taken out of service. This study is specifically focused on the V-I locus method for real-time transformer active part evaluation over the cloud environment and assessment of captured data through cloud computing. Experiments are carried out on a test setup to study turn-to-turn short circuit fault created on small transformers. Transformer mechanical fault recognition is discussed and the voltage/current technique is evaluated. Data obtained from practical measurements is analysed over cloud environment and assessment of the transformer condition is performed via application on mobile device. Also, protection relay connected to the transformer can be activated via cloud-based data assessment.

Original languageEnglish
Title of host publication2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings
EditorsAhmed Abu-Siada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538641262
DOIs
Publication statusPublished - Nov 14 2018
Event7th International Conference on Condition Monitoring and Diagnosis, CMD 2018 - Perth, Australia
Duration: Sep 23 2018Sep 26 2018

Other

Other7th International Conference on Condition Monitoring and Diagnosis, CMD 2018
CountryAustralia
CityPerth
Period9/23/189/26/18

Fingerprint

Relay protection
Cloud computing
Mobile devices
Short circuit currents
Electric potential
Experiments

Keywords

  • Cloud computing
  • Internet of Things (IoT) application
  • Real-time transformer deformation evaluation
  • Transformer diagnosis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

Cite this

Smagulova, A., Borasheva, A., Moldiyar, N., Bazarbek, N., Bagheri, M., & Phung, B. T. (2018). Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment. In A. Abu-Siada (Ed.), 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings [8535876] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CMD.2018.8535876

Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment. / Smagulova, Altynay; Borasheva, Aigerim; Moldiyar, Nurtas; Bazarbek, Nurbolat; Bagheri, Mehdi; Phung, B. T.

2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings. ed. / Ahmed Abu-Siada. Institute of Electrical and Electronics Engineers Inc., 2018. 8535876.

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

Smagulova, A, Borasheva, A, Moldiyar, N, Bazarbek, N, Bagheri, M & Phung, BT 2018, Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment. in A Abu-Siada (ed.), 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings., 8535876, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Condition Monitoring and Diagnosis, CMD 2018, Perth, Australia, 9/23/18. https://doi.org/10.1109/CMD.2018.8535876
Smagulova A, Borasheva A, Moldiyar N, Bazarbek N, Bagheri M, Phung BT. Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment. In Abu-Siada A, editor, 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8535876 https://doi.org/10.1109/CMD.2018.8535876
Smagulova, Altynay ; Borasheva, Aigerim ; Moldiyar, Nurtas ; Bazarbek, Nurbolat ; Bagheri, Mehdi ; Phung, B. T. / Real-time Transformer Diagnosis using Voltage-Current Signal over Cloud Environment. 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings. editor / Ahmed Abu-Siada. Institute of Electrical and Electronics Engineers Inc., 2018.
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