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TENG-inspired LED-in-capacitors for smart self-powered high-voltage monitoring and high-sensitivity demodulation of power-line communications

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dc.contributor.authorLiao, Yitao-
dc.contributor.authorLi, Wenhao-
dc.contributor.authorWang, Kun-
dc.contributor.authorGuo, Jiawei-
dc.contributor.authorShen, Yiwei-
dc.contributor.authorWang, Qiman-
dc.contributor.authorZhang, Yongai-
dc.contributor.authorWu, Chaoxing-
dc.contributor.authorZhou, Xiongtu-
dc.contributor.authorGuo, Tailiang-
dc.contributor.authorKim, Tae Whan-
dc.date.accessioned2023-07-05T03:31:30Z-
dc.date.available2023-07-05T03:31:30Z-
dc.date.created2022-09-08-
dc.date.issued2022-11-
dc.identifier.issn2211-2855-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186168-
dc.description.abstractIncreasing voltage levels and realizing power-line communications are important parts of a smart grid, and because of this, the need for intelligent, digital, and multi-functional electronic sensors that can simultaneously perform the functions of high-voltage monitoring and carrier-signal demodulation in a power transmission system is urgent. Inspired by the operation mode of light-emitting diodes (LEDs) driven by triboelectric-nanogenerators (TENGs), we propose an electrode-LED-electrode structure, namely, LED-in-capacitors (LIC), for high-voltage monitoring and high-frequency signal demodulation. We demonstrate that the proposed LIC can sensitively extract the high-voltage amplitude and detect the harmonic pollution on a power line due to the LIC's being highly sensitive to the rate of change of the electric potential. We build a one-dimensional convolutional neural network that we use to identify successfully, with correct rate as high as 94.53%, the harmonic pollution. Additionally, by using the LIC, we are able to demodulate accurately the high-frequency carrier signals transferred in the high-voltage line, showing that the LIC has promise for potential applications in power-line communications. As a novel type of electronic device derived from TENG-related technology, we believe the LIC can provide impetus for the development of next-generation high-voltage technology.-
dc.language영어-
dc.language.isoen-
dc.publisherElsevier Ltd-
dc.titleTENG-inspired LED-in-capacitors for smart self-powered high-voltage monitoring and high-sensitivity demodulation of power-line communications-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Tae Whan-
dc.identifier.doi10.1016/j.nanoen.2022.107698-
dc.identifier.scopusid2-s2.0-85136557726-
dc.identifier.wosid000861067100004-
dc.identifier.bibliographicCitationNano Energy, v.102, pp.1 - 9-
dc.relation.isPartOfNano Energy-
dc.citation.titleNano Energy-
dc.citation.volume102-
dc.citation.startPage1-
dc.citation.endPage9-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusTRIBOELECTRIC NANOGENERATOR-
dc.subject.keywordPlusOXIDATION-
dc.subject.keywordAuthorHigh-voltage monitoring-
dc.subject.keywordAuthorOne-dimensional convolutional neural network-
dc.subject.keywordAuthorPower-line communications-
dc.subject.keywordAuthorTriboelectric nanogenerators-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S2211285522007765?via%3Dihub-
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