Three-dimensional data-driven magnetostatic field computation using real-world measurement data

نویسندگان

چکیده

This paper presents a practical case study of data-driven magnetostatic finite element solver applied to real-world three-dimensional problem. Instead using hard-coded phenomenological material model within the solver, computing approach reformulates boundary value problem such that field solution is directly computed on measurement data. The formulation results in minimization with Lagrange multiplier, where sought must conform Maxwell's equations while at same time being closest available an inductor excited by DC-current. Numerical for data sets increasing cardinality verify recovers conventional solution. Furthermore, this work concludes applicable computationally demanding problems. Simulations real world further show usability solver.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parallel computation of three-dimensional nonlinear magnetostatic problems

We describe a general-purpose parallel electromagnetic code for computing accurate solutions to large computationally demanding, 3D, nonlinear magnetostatic problems. The code, CORAL, is based on a volume integral equation formulation. Using an IBM SP parallel computer and iterative solution methods, we successfully solved the dense linear systems inherent in such formulations. A key component ...

متن کامل

Magnetostatic Surface Field Measurement Facility

This note presents the analysis, design, and performance characteristics of an rf Helmholtz coil facility. The facility was developed to measure the magnetic response of models up to two feet in size. Test measurements were made on metallic spheres and cylinders, and on a model F-106 aircraft over a 1-25 MHz frequency range corresponding to 20-520 kHz full scale. A large portion of the note is ...

متن کامل

Three Dimensional Covariance Functions: Real Data

Height innovation data for a two-month period from NOGAPS was analyzed to obtain height prediction and observation error covariances. Different methods of weighting the data in least squares approximations were investigated using the second order autoregressive correlation function, both with and without an additive constant (varying with pressure level). Based on the properties of the derived ...

متن کامل

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

15 صفحه اول

Indexing Real - World Data using Semi - Structured

We address the problem of deriving meaningful semantic index information for a multi-media database using a semi-structured document model. We show how our framework, called feature grammars, can be used to (1) exploit third-party interpretation modules for real-world unstructured components, and (2) use context-free grammars to convert such poorly or unstructured input to semi-structured outpu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering

سال: 2021

ISSN: ['0332-1649', '2054-5606']

DOI: https://doi.org/10.1108/compel-06-2021-0219