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Magnetic Sensor Device-Part 2
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Magnetic Sensor Device-Part 2

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (15 November 2015) | Viewed by 38277

Special Issue Editor

Prof. Dr. Andreas Hütten

E-Mail Website
Guest Editor
Bielefeld University, Department of Physics, Thin films & physics of nanostructures, Universitaetsstr. 25, 33615 Bielefeld, Germany
Interests: magnetic thin films and nanoparticles; interaction of magnetic nanoparticles in microfluidics; magnetoresistive sensors; Heusler alloys related to spintronics and shape memory effects
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, "Magnetic Sensor Device," will motivate leading scientists to give an overview of their current research interests concerning new magnetic sensor concepts realized with thin film technology, nanoparticles or nanostructures. In addition to the physical and chemical aspects, this issue will also identify potential areas of applications, such as in automobiles, information technology, metrology, biotechnology or medicine. Besides purely magnetically functioning systems, combinations of magnetic nano-objects interacting or being driven by other phenomena (e.g., plasmonics, heat transport or microfluidics) will also be highlighted. We decided to focus on two directions, one towards visionary new sensor concepts and one towards already existing sensors emphasizing technical aspects.

This webpage is directed at existing sensors emphasizing technical aspects.

Prof. Dr. Andreas Hütten
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


Keywords

  • new magnetic sensor concepts
  • state-of-the-art magnetorelaxometry
  • magnetophoresis
  • nanoparticular GMR sensors
  • spin caloric transport
  • magnetocaloric
  • wearable magnetic field sensors
  • magnetic sensors for flexible electronics
  • magnetic nanoparticle meet microfluidics

Published Papers (4 papers)

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Research

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2864 KiB  
Article
DC-Compensated Current Transformer
by Pavel Ripka, Karel Draxler and Renata Styblíková
Sensors 2016, 16(1), 114; https://doi.org/10.3390/s16010114 - 20 Jan 2016
Cited by 19 | Viewed by 8124
Abstract
Instrument current transformers (CTs) measure AC currents. The DC component in the measured current can saturate the transformer and cause gross error. We use fluxgate detection and digital feedback compensation of the DC flux to suppress the overall error to 0.15%. This concept [...] Read more.
Instrument current transformers (CTs) measure AC currents. The DC component in the measured current can saturate the transformer and cause gross error. We use fluxgate detection and digital feedback compensation of the DC flux to suppress the overall error to 0.15%. This concept can be used not only for high-end CTs with a nanocrystalline core, but it also works for low-cost CTs with FeSi cores. The method described here allows simultaneous measurements of the DC current component. Full article
(This article belongs to the Special Issue Magnetic Sensor Device-Part 2)
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5200 KiB  
Article
Dynamic Vehicle Detection via the Use of Magnetic Field Sensors
by Vytautas Markevicius, Dangirutis Navikas, Mindaugas Zilys, Darius Andriukaitis, Algimantas Valinevicius and Mindaugas Cepenas
Sensors 2016, 16(1), 78; https://doi.org/10.3390/s16010078 - 19 Jan 2016
Cited by 55 | Viewed by 9633
Abstract
The vehicle detection process plays the key role in determining the success of intelligent transport management system solutions. The measurement of distortions of the Earth’s magnetic field using magnetic field sensors served as the basis for designing a solution aimed at vehicle detection. [...] Read more.
The vehicle detection process plays the key role in determining the success of intelligent transport management system solutions. The measurement of distortions of the Earth’s magnetic field using magnetic field sensors served as the basis for designing a solution aimed at vehicle detection. In accordance with the results obtained from research into process modeling and experimentally testing all the relevant hypotheses an algorithm for vehicle detection using the state criteria was proposed. Aiming to evaluate all of the possibilities, as well as pros and cons of the use of anisotropic magnetoresistance (AMR) sensors in the transport flow control process, we have performed a series of experiments with various vehicles (or different series) from several car manufacturers. A comparison of 12 selected methods, based on either the process of determining the peak signal values and their concurrence in time whilst calculating the delay, or by measuring the cross-correlation of these signals, was carried out. It was established that the relative error can be minimized via the Z component cross-correlation and Kz criterion cross-correlation methods. The average relative error of vehicle speed determination in the best case did not exceed 1.5% when the distance between sensors was set to 2 m. Full article
(This article belongs to the Special Issue Magnetic Sensor Device-Part 2)
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1467 KiB  
Article
Vehicle Position Estimation Based on Magnetic Markers: Enhanced Accuracy by Compensation of Time Delays
by Yeun-Sub Byun, Rag-Gyo Jeong and Seok-Won Kang
Sensors 2015, 15(11), 28807-28825; https://doi.org/10.3390/s151128807 - 13 Nov 2015
Cited by 21 | Viewed by 6109
Abstract
The real-time recognition of absolute (or relative) position and orientation on a network of roads is a core technology for fully automated or driving-assisted vehicles. This paper presents an empirical investigation of the design, implementation, and evaluation of a self-positioning system based on [...] Read more.
The real-time recognition of absolute (or relative) position and orientation on a network of roads is a core technology for fully automated or driving-assisted vehicles. This paper presents an empirical investigation of the design, implementation, and evaluation of a self-positioning system based on a magnetic marker reference sensing method for an autonomous vehicle. Specifically, the estimation accuracy of the magnetic sensing ruler (MSR) in the up-to-date estimation of the actual position was successfully enhanced by compensating for time delays in signal processing when detecting the vertical magnetic field (VMF) in an array of signals. In this study, the signal processing scheme was developed to minimize the effects of the distortion of measured signals when estimating the relative positional information based on magnetic signals obtained using the MSR. In other words, the center point in a 2D magnetic field contour plot corresponding to the actual position of magnetic markers was estimated by tracking the errors between pre-defined reference models and measured magnetic signals. The algorithm proposed in this study was validated by experimental measurements using a test vehicle on a pilot network of roads. From the results, the positioning error was found to be less than 0.04 m on average in an operational test. Full article
(This article belongs to the Special Issue Magnetic Sensor Device-Part 2)
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Review

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2714 KiB  
Review
Recent Developments of Magnetoresistive Sensors for Industrial Applications
by Lisa Jogschies, Daniel Klaas, Rahel Kruppe, Johannes Rittinger, Piriya Taptimthong, Anja Wienecke, Lutz Rissing and Marc Christopher Wurz
Sensors 2015, 15(11), 28665-28689; https://doi.org/10.3390/s151128665 - 12 Nov 2015
Cited by 210 | Viewed by 13831
Abstract
The research and development in the field of magnetoresistive sensors has played an important role in the last few decades. Here, the authors give an introduction to the fundamentals of the anisotropic magnetoresistive (AMR) and the giant magnetoresistive (GMR) effect as well as [...] Read more.
The research and development in the field of magnetoresistive sensors has played an important role in the last few decades. Here, the authors give an introduction to the fundamentals of the anisotropic magnetoresistive (AMR) and the giant magnetoresistive (GMR) effect as well as an overview of various types of sensors in industrial applications. In addition, the authors present their recent work in this field, ranging from sensor systems fabricated on traditional substrate materials like silicon (Si), over new fabrication techniques for magnetoresistive sensors on flexible substrates for special applications, e.g., a flexible write head for component integrated data storage, micro-stamping of sensors on arbitrary surfaces or three dimensional sensing under extreme conditions (restricted mounting space in motor air gap, high temperatures during geothermal drilling). Full article
(This article belongs to the Special Issue Magnetic Sensor Device-Part 2)
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