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Article: DC-Arcing Detection by Noise Measurement With Magnetic Sensing by TMR Sensors

TitleDC-Arcing Detection by Noise Measurement With Magnetic Sensing by TMR Sensors
Authors
KeywordsDirect current (dc) arc fault
Fault detection
Magnetoresistive sensor
Noise measurement
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=20
Citation
IEEE Transactions on Magnetics, 2018, v. 54 n. 11, article no. 4002005 How to Cite?
AbstractAn arc fault establishes a current path in the air which may cause malfunction of direct current (dc) system and even a fire hazard. Arc fault detection is essential to improving the reliability, efficiency, and safety of the dc system. However, the randomness of dc arc faults makes it difficult to define their characteristics. In this paper, a magnetic-sensing-based technique is proposed to detect dc arc. This paper developed a promising dc-arcing detection technique based on the analysis of frequency-domain features of the magnetic field measured by a magnetic sensor. The effects of the supply voltage, load current, and electrode diameter on the frequency domain of the arc current were investigated. The experimental results show that the proposed detection technique could reliably discriminate the normal operation and arc fault. This technique is cost-effective because it can be implemented with low-cost magnetoresistive sensors and does not require an expensive current transformer.
Persistent Identifierhttp://hdl.handle.net/10722/264143
ISSN
2021 Impact Factor: 1.848
2020 SCImago Journal Rankings: 0.620
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMiao, W-
dc.contributor.authorLiu, X-
dc.contributor.authorLam, KH-
dc.contributor.authorPong, PWT-
dc.date.accessioned2018-10-22T07:50:14Z-
dc.date.available2018-10-22T07:50:14Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Magnetics, 2018, v. 54 n. 11, article no. 4002005-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://hdl.handle.net/10722/264143-
dc.description.abstractAn arc fault establishes a current path in the air which may cause malfunction of direct current (dc) system and even a fire hazard. Arc fault detection is essential to improving the reliability, efficiency, and safety of the dc system. However, the randomness of dc arc faults makes it difficult to define their characteristics. In this paper, a magnetic-sensing-based technique is proposed to detect dc arc. This paper developed a promising dc-arcing detection technique based on the analysis of frequency-domain features of the magnetic field measured by a magnetic sensor. The effects of the supply voltage, load current, and electrode diameter on the frequency domain of the arc current were investigated. The experimental results show that the proposed detection technique could reliably discriminate the normal operation and arc fault. This technique is cost-effective because it can be implemented with low-cost magnetoresistive sensors and does not require an expensive current transformer.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=20-
dc.relation.ispartofIEEE Transactions on Magnetics-
dc.rightsIEEE Transactions on Magnetics. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectDirect current (dc) arc fault-
dc.subjectFault detection-
dc.subjectMagnetoresistive sensor-
dc.subjectNoise measurement-
dc.titleDC-Arcing Detection by Noise Measurement With Magnetic Sensing by TMR Sensors-
dc.typeArticle-
dc.identifier.emailLam, KH: samkhlam@hku.hk-
dc.identifier.emailPong, PWT: ppong@hkucc.hku.hk-
dc.identifier.authorityPong, PWT=rp00217-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TMAG.2018.2842187-
dc.identifier.scopuseid_2-s2.0-85049076914-
dc.identifier.hkuros293993-
dc.identifier.volume54-
dc.identifier.issue11-
dc.identifier.spagearticle no. 4002005-
dc.identifier.epagearticle no. 4002005-
dc.identifier.isiWOS:000447832100133-
dc.publisher.placeUnited States-
dc.identifier.issnl0018-9464-

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