Long-Lifetime Event-Driven Wireless Monitoring System for Pole-Mounted Transformers
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwak, Seung Soo | - |
dc.contributor.author | Im, Yun Chan | - |
dc.contributor.author | Kim, Yong Sin | - |
dc.date.accessioned | 2022-02-26T13:41:39Z | - |
dc.date.available | 2022-02-26T13:41:39Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-08 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/137021 | - |
dc.description.abstract | As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abnormalities of a transformer and transmits data only if an abnormality occurs. When the proposed event controller detects an abnormality, it enables a root mean square (RMS) converter and a peak detector for sampling and transmitting the maximum RMS value of the abnormal signal and then falls into sleep mode until the next event to save energy. Simulation and experimental results show that the proposed system enhances battery lifetime by up to two orders of magnitude compared to a conventional battery-powered wireless monitoring system. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | FAULT-DIAGNOSIS | - |
dc.subject | VIBRATION | - |
dc.subject | DEGRADATION | - |
dc.subject | PROGNOSIS | - |
dc.subject | FAILURE | - |
dc.title | Long-Lifetime Event-Driven Wireless Monitoring System for Pole-Mounted Transformers | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Yong Sin | - |
dc.identifier.doi | 10.3390/app11167313 | - |
dc.identifier.scopusid | 2-s2.0-85112387596 | - |
dc.identifier.wosid | 000688733300001 | - |
dc.identifier.bibliographicCitation | APPLIED SCIENCES-BASEL, v.11, no.16 | - |
dc.relation.isPartOf | APPLIED SCIENCES-BASEL | - |
dc.citation.title | APPLIED SCIENCES-BASEL | - |
dc.citation.volume | 11 | - |
dc.citation.number | 16 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | DEGRADATION | - |
dc.subject.keywordPlus | FAILURE | - |
dc.subject.keywordPlus | FAULT-DIAGNOSIS | - |
dc.subject.keywordPlus | PROGNOSIS | - |
dc.subject.keywordPlus | VIBRATION | - |
dc.subject.keywordAuthor | abnormality monitoring | - |
dc.subject.keywordAuthor | battery powered | - |
dc.subject.keywordAuthor | event driven | - |
dc.subject.keywordAuthor | pole-mounted transformer | - |
dc.subject.keywordAuthor | root mean square (RMS) | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.