A smart flat-coil eddy-current sensor for metal-tag recognition

Belloir, Fabien; Huez, Regis; Billat, A.

doi:10.1088/0957-0233/11/4/305

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…For this, emitted flux with turned coil is more important, and obtaining shadow area manually is very difficult because the harmful direct coupling between emitted and reflected coil. 10 shows the raw signal coming from the various coils sensor. One can already note the very clear improvements of the sensor sensitivity.…”

Section: Sensor Modelingmentioning

confidence: 99%

“…Emitting Coil (10) For detection in 1 meter we need a ray of 1.4 meter. This is impossible for bulk reasons but this formulation shows that it is necessary to take the larger possible ray.…”

Section: Sensor Descriptionmentioning

confidence: 99%

“…We use very different kind of classifiers: classical ones, fuzzy logic ones and neural ones. The recognition methods used for the first coding system are the distances Euclidian and Mahalanobis, Maximum of Likelihood (ML), RBF (Radial Basis Functions), FPM (Fuzzy Pattern Matching) and SW (Sliding Window) [10]. With the use of so many classifiers, we had to develop a decision system based on the nerical evidence theory.…”

Section: Sensor Descriptionmentioning

confidence: 99%

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Modeling of Intelligent Electromagnetic Sensor for Buried Tags

Zitouni¹,

Beheim²,

Belloir³

2006

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

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in this paper we describe an eddy current sensor based on the induction balance principle for the recognition of buried conductive tag. The objective of this system is to identify without excavation the various types of ground pipes. The principle is to associate to each pipe type a characteristic tag integrating conductive elements. We present a DPSM theory used for sensor modeling. We present also the first generation model of our sensor, and the optimization of different parts of this last one. Specially, the replacement of flat coils by "turned" ones, their dimensions and positions. After modeling, we describe the sensor second generation carried out and obtained real signals. We show the results of methods used to recognize the two coding systems. We conclude by the improvements obtained by all these changes and the future work suggested.

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Section: Sensor Modelingmentioning

confidence: 99%

Section: Sensor Descriptionmentioning

confidence: 99%

Section: Sensor Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling of Intelligent Electromagnetic Sensor for Buried Tags

Zitouni¹,

Beheim²,

Belloir³

2006

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

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show abstract

“…The recognition methods used for the first coding system are the distances Euclidian and Mahalanobis, Maximum of Likelihood (ML), RBF (Radial Basis Functions), FPM (Fuzzy Pattern Matching) and SW (Sliding Window) [8]. With the use of this variety of classifiers, we had to develop a decision system based on the evidence theory.…”

Section: Pattern Recognitionmentioning

confidence: 99%

Tag Detection by an Electromagnetic Sensor (Erkennung von ID-Tags mit elektromagnetischem Sensor)

Zitouni¹,

Beheim²,

Belloir³

et al. 2006

Teme

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A del Zitouni, Larbi B eheim , Fabien B elloir, D anielle N uzillard, U niversity of R eim s C ham pagne-A rdenne, FranceWe describe an eddy current sensor based on the induction balance principle for the buried conductive tag recognition. The objective is to identify the various types of ground pipes without excavation. The principle is to associate to each pipe type a characteristic tag incorporating conductive elements. We present the changes made to the first sensor generation with the aim of view to improve its performances. We also describe the sensor modeling and its optimization by the replacement of the flat coils by turned coils. The other principal modifications are the integration of a numerical lock in detection and the use of an audio amplifier to improve the excitation signal. We show the results of methods used to recognize the two coding systems. We conclude by a summary of the improvements obtained and suggestions for future work.In diesem Beitrag wird ein Wirbelstromsensor basierend auf Induktionsausgleich für die Erkennung von verdeckten und leitenden ID-Tags vorgestellt. Ziel ist es, verschiedene Arten von Grundwasserröhren ohne Ausgraben zu identifizieren. Zu jeder Rohrart wird ein charakteristischer ID-Tag mit leitenden Elementen zugeordnet. Basierend auf einer Sensormodellierung werden Optimierungsmaßnahmen des Systementwurfs untersucht. Um einen besseren Empfang zu erreichen werden Flachspulen auf der Empfängerseite durch normale Spulen ersetzt. Für die Berechnung der Phase und der Verstärkung des Empfangssignals wird die numerische Lock-In Methode eingesetzt. Durch einen Audioverstärker wird eine Verbesserung des Anregungssignals erreicht. Verschiedene Kodierungs-und Erkennungsmethoden werden untersucht und evaluiert. Der neue Systementwurf erreicht eine Verbesserung der Empfindlichkeit um 20%. Feldversuche zeigen mögliche Erkennung von Abständen größer als einen Meter.

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“…Fuzzy logic and neural networks application for pattern recognition and classification. Here soft computing techniques are applied to make recognition more reliable as in [11], where a smart eddy-current sensor for locating and identifying metal tags used to recognize buried pipes or more accurate as in [12]. However, those systems should not be compulsory multi-source.…”

Section: Soft Computing Methods In Measurement Information Fusionmentioning

confidence: 99%

Use of fuzzy expert's information in measurement and what we can gain from its application in geophysics

Reznik

Kreinovich

Starks

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.

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Abstract-The paper considers the problem of measurement information fusion from different sources, when one of the sources is an information about approximate values of the measured variables or their combinations. The information is given with fuzzy models and is used in combination with the measurement results. The properties of the modified estimates are studied in comparison with the conventional ones. The conditions when an expert's information application can give a high gain are derived, the gain value is estimated, the recommendations to an expert on making predictions are given. The possible gain in measurement result efficiency in geophysical applications is analyzed.

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A smart flat-coil eddy-current sensor for metal-tag recognition

Cited by 14 publications

References 11 publications

Modeling of Intelligent Electromagnetic Sensor for Buried Tags

Modeling of Intelligent Electromagnetic Sensor for Buried Tags

Tag Detection by an Electromagnetic Sensor (Erkennung von ID-Tags mit elektromagnetischem Sensor)

Use of fuzzy expert's information in measurement and what we can gain from its application in geophysics

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