Sparse Grid Surrogate Models for Electromagnetic Problems With Many Parameters

Bilicz, Sándor

doi:10.1109/tmag.2015.2477241

Cited by 16 publications

(24 citation statements)

References 14 publications

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“…Here, the metamodel is used as an almost real-time replacement of the forward solver for the most time consuming tasks. More details on this topic can be found in [2,3,4]. In the following, we show how metamodels can be employed in order to propagate uncertainties during the inversion process in two inspection cases: crack characterization and crack localization.…”

Section: Database and Metamodel Generation For Uncertainty Propagationmentioning

confidence: 99%

“…In this work, the database is built based on functional complex valued signals in the case of ECT and functional real signals in the case of UT problems. Based on the database training set, the metamodel ( ) is fit by employing suitable kernel-based methods (e.g., kriging, radial basis function (RBF)) [2,4] or sparse grid methods [3]. Thus predictions are obtained by evaluating the metamodel on a unseen test set such that .…”

Section: Metamodel Formulation In a Nutshellmentioning

confidence: 99%

“…The main advantage in employing parametric solvers consists in the ease of use and in the high computational efficiency (since semi-analytical solutions or accurate approximate models are often available) and a user-friendly description of the NdT scenario. Recently, the generation of databases and their exploitation through associated metamodels (or surrogate models) has been successfully demonstrated for eddy current testing inspection problems [2,3,4]. The database technology has shown considerable potential by allowing fast sensitivity analyses, modelassisted probability of detection and inversion studies [4].…”

Section: Introductionmentioning

confidence: 99%

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Assessing performance of flaw characterization methods through uncertainty propagation

Miorelli

Bourdais

Artusi

2018

AIP Conference Proceedings

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Abstract. In this work, we assess the inversion performance in terms of crack characterization and localization based on synthetic signals associated to ultrasonic and eddy current physics. More precisely, two different standard iterative inversion algorithms are used to minimize the discrepancy between measurements (i.e., the tested data) and simulations. Furthermore, in order to speed up the computational time and get rid of the computational burden often associated to iterative inversion algorithms, we replace the standard forward solver by a suitable metamodel fit on a database built offline. In a second step, we assess the inversion performance by adding uncertainties on a subset of the database parameters and then, through the metamodel, we propagate these uncertainties within the inversion procedure. The fast propagation of uncertainties enables efficiently evaluating the impact due to the lack of knowledge on some parameters employed to describe the inspection scenarios, which is a situation commonly encountered in the industrial NDE context.

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Section: Database and Metamodel Generation For Uncertainty Propagationmentioning

confidence: 99%

Section: Metamodel Formulation In a Nutshellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing performance of flaw characterization methods through uncertainty propagation

Miorelli

Bourdais

Artusi

2018

AIP Conference Proceedings

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“…A database generation technique using the sparse grid approach is introduced in [81], while a metamodel-based nested sampling strategy is reported in [82].…”

Section: Electromagnetic Simulation and Design Laboratorymentioning

confidence: 99%

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

Charaf

Harsányi

Poppe

et al. 2017

Period. Polytech. Elec. Eng. Comp. Sci.

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Preface Since being established in 1949, the Faculty of Electrical Engineering and Informatics (VIK) BME has played a flagship role in the development of electronics, IT and computer science in Hungary.We László Jakab (dean, BME VIK) János Levendovszky (vice-dean in charge of scientific affairs, BME VIK) are proud of combining engineering applications with sound scientific results, which is the assurance of high-level industrial collaboration leading to novel results and innovation. The various collaborations with our industrial partners has made it clear that the industry expects methods and results which make their industrial processes more effective and increase productivity and quality. Thus, participation in these collaborations give a competitive edge and ensure the continuous development of VIK. These factors have positioned our Department of Automation and Applied InformaticsDepartment of Automation and Applied Informatics (AUT) is one of the largest and dynamically developing departments at BME with diverse scope competences such as control theory, embedded systems, software modelling, applied software development, Internet of Things, power electronics, mechatronics, and many others. The department's main activities are education, research and development. Training versatile electrical and software engineers with solid practical knowledge is our top priority. Our profile also includes developing high quality software and hardware solutions for industry partners. All of our activities are backed by strong research background.In 2016, the department organized and hosted a number of domestic and international events. In cooperation with the industry, AUT has organized the IoT4U conference. It was dedicated to Internet of Things, cloud and data management as well as the integration of IoT into various formats. RobonAUT, the yearly domestic amateur robotics contest was organized by the department in February 2016. The yearly contest is open to teams of students, organized either in student projects within the department or independent research teams.The next sections summarize the key research results of the department in year 2016. Software Development Methods and Mobile PlatformsThe diversity of mobile platforms necessitates the development of the same mobile application for all major mobile platforms, what requires considerable development effort. Mobile application developers are multiplatform developers, but they still prioritize the platforms, therefore, not all platforms are equally important for them. Appropriate methods, processes and tools are required to support the development in order to achieve better productivity.The research on educational mobile applications that adapt to the mental state of the user required a method for estimating the difficulty of tasks found in the serious games. There are generated or random assignments where the effort required from the user is not known or cannot be estimated in advance.61 (2) IoT and Smart CityThe Internet of Things (IoT) is transforming the surroun...

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“…A sampling strategy based on adaptive mesh generation is reported in [160]. A database generation technique using the sparse grid approach is introduced in [161]. A recently started activity at the Laboratory is the electromagnetic simulation of magnetically coupled resonant WPT configurations.…”

Section: Electromagnetic Simulation and Design Laboratorymentioning

confidence: 99%

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2015

Vajk¹,

Harsányi

Poppe

et al. 2016

Period. Polytech. Elec. Eng. Comp. Sci.

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PrefaceThroughout László Vajta, Dean of BME VIK János Levendovszky, Deputy Dean of BME VIK Department of Automation and Applied InformaticsDepartment of Automation and Applied Informatics (AUT) is one of the largest and dynamically developing departments at BME with diverse scope competences such as control theory, embedded systems, software modelling, applied software development, Internet of Things, power electronics, mechatronics, and many others. The department's main activities are education, research and development. Training versatile electrical and software engineers with solid practical knowledge is our top priority. Our profile also includes developing high quality software and hardware solutions for industry partners. All of our activities are backed by strong research background.In 2015, the department has organized the 21 st European Wireless (EW) Conference. The EW 2015 conference hosted more than 140 participants from 30 different countries. The 2015 edition of EW was aimed at addressing a key theme on "5G and beyond."The next sections summarize the key research results of the department in year 2015. IoT and Smart CityThe Internet of Things (IoT) is transforming the surrounding physical objects into an ecosystem of information that enriches our everyday life. The IoT represents the convergence of advances in miniaturization, wireless connectivity, and increased data storage, and is driven by various sensors. Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. Our SensorHUB framework URBMOBI is a mobile environmental sensor that (i) provides temporally and spatially distributed environmental data, (ii) fulfills the need for monitoring at various places without the costs for a large number of fixed measurement stations, (iii) integrates small and precise sensors in a system that can be operated on buses, trams, or other vehicles, (iv) concentrates on urban heat and thermal comfort, and (v) aims at providing climate services and integration with real-time climate models.utilizes the state-of-the-art open source technologies and provides a unified tool chain for IoT related application and ser-URBMOBI project has been worked out between 2013 and 2015 by the following consortium: RWTH Aachen University (Germany), Netherlands Organization for Applied Scientific Research TNO (Netherlands), ARIA Technologies (France), Budapest University of Technology and Economics (Hungary), and Meteorological and Environmental Earth Observation (Italy).The SOLSUN (Sustainable Outdoor Lighting & Sensory Urban Networks) project is about to demonstrate how intelligent city infrastructure can be created in a cost-effective and sustainable way by reusing existing street lighting as the communications backbone. We apply different technologies and methods to reduce energy consumption at the same time as turning streetlights into nodes on a scalable network that is al...

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Sparse Grid Surrogate Models for Electromagnetic Problems With Many Parameters

Cited by 16 publications

References 14 publications

Assessing performance of flaw characterization methods through uncertainty propagation

Assessing performance of flaw characterization methods through uncertainty propagation

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2015

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