Optimal magnetic probes location for current reconstruction in multistrands superconducting cables

Bruzzone, P.; Formisano, A.; Martone, R.

doi:10.1109/20.996271

Cited by 22 publications

(25 citation statements)

References 4 publications

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“…2 left. This particular angle has been chosen with the aim of minimizing the conditioning number of the coefficient matrix related to the inverse problem of current reconstruction [5]. At the other four locations, the 10 sensors are oriented parallel to the background field (Fig.…”

Section: A Instrumentationmentioning

confidence: 99%

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Reconstruction of Current Unbalance in Full-Size ITER NbTi CICC by Self-Field Measurements

Ilyin

Nijhuis

Kate

et al. 2005

IEEE Trans. Appl. Supercond.

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Abstract-Methods have been developed to study the distribution of the transport current among the strand bundles of cable-in-conduit conductors (CICC) by using self-field measurements with Hall probe arrays. The unbalance in the transport current is mainly caused by the unavoidable nonuniformity of the joints and can be a reason for a change in the voltage-temperature characteristic and consequently of the temperature margin. In the present study we focus on the reconstruction of the current unbalance in a full size NbTi CICC tested in the SULTAN test facility. The crucial point in the reconstruction procedure is the proper choice of the reference self-field profile corresponding to a uniform current distribution. To achieve this uniform distribution, the conductors were driven far into the current sharing regime. The self-field profile corresponding to the highest achieved voltage level was taken as a reference. This assumption is supported by the modeling of current-sharing runs in the CUDI-CICC network model. Furthermore, local redistribution effects were observed in the conductors at high currents. The current transfer associated with this redistribution is analyzed as well.

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Section: A Instrumentationmentioning

confidence: 99%

“…At the other four locations, the 10 sensors are oriented parallel to the background field (Fig. 2 right) to minimize its influence and to increase the signal/noise ratio [5]. The sensors were calibrated at room temperature and in liquid helium.…”

Section: A Instrumentationmentioning

confidence: 99%

Reconstruction of Current Unbalance in Full-Size ITER NbTi CICC by Self-Field Measurements

Ilyin

Nijhuis

Kate

et al. 2005

IEEE Trans. Appl. Supercond.

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“…1). Purely considered as a mathematical problem, the conditioning number of the matrix, whose elements are partly functions of the HS orientation, can be minimized by varying this angle [4], [5]. The second set is located on the section of the conductor in the high field region (HS21-28).…”

Section: Samples and Instrumentationmentioning

confidence: 99%

Self field measurements by hall sensors on the SeCRETS short sample CICC's subjected to cyclic load

Ilyin

Nijhuis

Kate

et al. 2003

IEEE Trans. Appl. Supercond.

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Abstract-An imbalance in the transport current among the strands of a Cable-in-Conduit conductors (CICC) can be associated with the change of their performance. In order to understand and improve the performance of CICC's, it is essential to study the current imbalance. This paper focuses on the study of the current imbalance in two short samples of the SeCRETS (Segregated Copper Ratio Experiment on Transient Stability) conductors subjected to a cyclic load in the SULTAN facility. The self field around the conductors was measured on four locations by 32 miniature Hall sensors for a reconstruction of the current distribution. The results of the self field measurements in the DC tests are presented and discussed.

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“…There are many applications in magneto fluid dynamics (Ziolkowski et al, 2006), superconductivity (Bruzzone et al, 2002;Bellina et al, 2002), non-destructive testing (Haueisen et al, 2002), magnetic fields characterization (Scorretti et al, 2004;Rouve et al, 2006), reconstruction of a magnetization distribution (Chadebec et al, 2002), biomagnetism (Arturi et al, 2004;Di Rienzo et al, 2005) that can be formulated as magnetostatic linear inverse problems (IPs).…”

Section: Introductionmentioning

confidence: 99%

“…A typical cost function used in sensor array optimization is given by the condition number (CN) of the kernel matrix (Bruzzone et al, 2002;Bellina et al, 2002;Rouve et al, 2006;Arturi et al, 2004;Di Rienzo et al, 2005). The analysis based on the CN is limited by the fact that the solution of an ill-posed IP is obtained by a regularization Numerical comparison of sensor arrays algorithm and the CN of the regularization algorithm is different from the CN of the kernel matrix.…”

Section: Introductionmentioning

confidence: 99%

Numerical comparison of sensor arrays for magnetostatic linear inverse problems based on a projection method

Rienzo

Haueisen

2007

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Article information:To cite this document: Luca Di Rienzo Jens Haueisen, (2007),"Numerical comparison of sensor arrays for magnetostatic linear inverse problems based on a projection method", COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, Vol. For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Design/methodology/approach -A singular value decomposition related projection method is used for comparing sensor arrays and we applied it to a biomagnetic inverse problem, as an example. Furthermore, a theoretical reference sensor system is introduced and used as a benchmark for the analysed sensor arrays. Findings -The method has turned out to be effective in comparing three different theoretical sensor arrays, showing the superiority of the two arrays constituted by three-axial sensors.Research limitations/implications -The method has been applied only to the case of over-determined problems. The underdetermined case will be considered in future work. Practical implications -From the applicative point of view, the illustrated methodology is useful when one has to choose between existing sensor arrays or in the design phase of a new sensor array. Originality/value -A new methodology is proposed for comparing sensor arrays. The advantage of the methodology are to take into account the regularization in the solution of the inverse problem and to be general, not depending on a particular source configuration.

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Optimal magnetic probes location for current reconstruction in multistrands superconducting cables

Cited by 22 publications

References 4 publications

Reconstruction of Current Unbalance in Full-Size ITER NbTi CICC by Self-Field Measurements

Reconstruction of Current Unbalance in Full-Size ITER NbTi CICC by Self-Field Measurements

Self field measurements by hall sensors on the SeCRETS short sample CICC's subjected to cyclic load

Numerical comparison of sensor arrays for magnetostatic linear inverse problems based on a projection method

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