Anomaly Detection With Low Magnetic Flux: a Fluxgate Sensor Network Application

dc.authorid Yürüklü, Emrah/0000-0003-0328-1138
dc.authorid Coramik, Mustafa/0000-0002-3225-633X
dc.authorid Kurt, Unal/0000-0002-8889-8681
dc.authorscopusid 19638410900
dc.authorscopusid 56578472900
dc.authorscopusid 56578608300
dc.authorscopusid 55767066200
dc.authorscopusid 19639054500
dc.authorscopusid 25722428800
dc.authorscopusid 35409580000
dc.authorwosid Ege, Yavuz/AAD-7800-2019
dc.authorwosid Yürüklü, Emrah/HRE-1572-2023
dc.authorwosid çıtak, hakan/AIE-7954-2022
dc.authorwosid Coramik, Mustafa/AAG-9219-2019
dc.authorwosid Yürüklü, Emrah/ABA-2417-2020
dc.authorwosid Kurt, Unal/A-1330-2014
dc.contributor.author Ege, Yavuz
dc.contributor.author Coramik, Mustafa
dc.contributor.author Kabadayi, Murat
dc.contributor.author Citak, Hakan
dc.contributor.author Kalender, Osman
dc.contributor.author Yuruklu, Emrah
dc.contributor.author Nazlibilek, Sedat
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T14:29:11Z
dc.date.available 2024-07-05T14:29:11Z
dc.date.issued 2016
dc.department Atılım University en_US
dc.department-temp [Ege, Yavuz; Coramik, Mustafa; Kabadayi, Murat] Balikesir Univ, Necatibey Fac Educ, Dept Phys, TR-10100 Balikesir, Turkey; [Citak, Hakan] Balikesir Univ, Balikesir Vocat High Sch, TR-10100 Balikesir, Turkey; [Kalender, Osman; Yuruklu, Emrah] Bursa Orhangazi Univ, Dept Elect Elect Engn, TR-16350 Bursa, Turkey; [Kurt, Unal] Amasya Univ, Dept Elect Elect Engn, TR-05100 Amasya, Turkey; [Nazlibilek, Sedat] Atilim Univ, Fac Engn, Dept Mechatron Engn, TR-06830 Ankara, Turkey en_US
dc.description Yürüklü, Emrah/0000-0003-0328-1138; Coramik, Mustafa/0000-0002-3225-633X; Kurt, Unal/0000-0002-8889-8681 en_US
dc.description.abstract Recent studies on remote detection methods were mostly for improving variables like sensing distance, sensitivity and power consumption. Especially using anisotropic magneto-resistive sensors with low power consumption and high sensitivity for detecting subsurface magnetic materials became very popular in last decades. In our study, for detecting subsurface materials, we have used fluxgate sensor network for having even higher sensitivity and also minimizing the power consumption by detecting the changing rates of horizontal component of earth's magnetic flux which is assumed to be very low. We have constituted a magnetic measurement system which comprises a detector system, which has a mechanism enables sensors to move in 3-D space, a data acquisition module for processing and sending all sensor information, and a computer for running the magnetic flux data evaluation and recording software. Using this system, tests are carried out to detect anomalies on horizontal component of earth's magnetic flux which is created by different subsurface materials with known magnetic, chemical and geometric properties. The harmonics of horizontal component of earth's magnetic flux in scanned area are analyzed by the help of DSP Lock-In amplifier and the amplitudes of high variation harmonics are shown as computer graphics. Using the graphic information, the upside surface geometry of subsurface material is defined. For identifying the magnetic anomalies, we have used the scale-invariant feature transform (SIFT)-binary robust invariant scalable keypoints (BRISKs) as keypoint and descriptor. We used an algorithm for matching the newly scanned image to the closest image in database which is constituted of mines and possible other metal objects like cans, etc. Results show that, if the proposed detection system is used instead of metal detectors which cannot distinguish mines from other metal materials and alert for every type of metal with different geometries, it can be said that miss alarm count, work force and time can be decreased dramatically. In this paper, mostly the setup of the system is described and in Appendix A some experimental outputs of the system for different geometries of metal samples are given. And also for comparing the results of the proposed system, additional experiments are carried out with a different type of sensor chip, namely KMZ51, and also given in Appendix A. (C) 2015 Elsevier Ltd. All rights reserved. en_US
dc.description.sponsorship Council of Scientific Research of Turkey called TUBITAK [113F505] en_US
dc.description.sponsorship This study is supported by the Council of Scientific Research of Turkey called TUBITAK under the number of 113F505. en_US
dc.identifier.citationcount 11
dc.identifier.doi 10.1016/j.measurement.2015.12.004
dc.identifier.endpage 56 en_US
dc.identifier.issn 0263-2241
dc.identifier.issn 1873-412X
dc.identifier.scopus 2-s2.0-84951753714
dc.identifier.startpage 43 en_US
dc.identifier.uri https://doi.org/10.1016/j.measurement.2015.12.004
dc.identifier.uri https://hdl.handle.net/20.500.14411/478
dc.identifier.volume 81 en_US
dc.identifier.wos WOS:000368262100005
dc.identifier.wosquality Q1
dc.institutionauthor Nazlıbilek, Sedat
dc.language.iso en en_US
dc.publisher Elsevier Sci Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 12
dc.subject Remote sensing en_US
dc.subject Remote detection en_US
dc.subject Magnetic anomaly en_US
dc.subject Fluxgate sensor en_US
dc.subject Magnetic materials en_US
dc.title Anomaly Detection With Low Magnetic Flux: a Fluxgate Sensor Network Application en_US
dc.type Article en_US
dc.wos.citedbyCount 10
dspace.entity.type Publication
relation.isAuthorOfPublication de094a03-1e24-470f-bb3b-db66e9f73b89
relation.isAuthorOfPublication.latestForDiscovery de094a03-1e24-470f-bb3b-db66e9f73b89
relation.isOrgUnitOfPublication e2a6d0b1-378e-4532-82b1-d17cabc56744
relation.isOrgUnitOfPublication.latestForDiscovery e2a6d0b1-378e-4532-82b1-d17cabc56744

Files

Collections