Siemens (Belgium)

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Title DOI
https://doi.org/10.1109/icrera.2015.7418448 Experimental noise and vibration analysis of switched reluctance machines comparison of soft and hard chopping in transient conditions
https://doi.org/10.1016/j.trpro.2016.05.432 ASTERICS – Advanced Simulation Models and Accelerated Testing for the Development of Electric Vehicles
https://doi.org/10.1177/0957650916678725 Aeroservoelastic simulations for horizontal axis wind turbines
https://doi.org/10.1016/j.proeng.2017.09.521 Structural Health Monitoring strategies based on the estimation of modal parameters
https://doi.org/10.1109/icem49940.2020.9270957 PMASynRM late design-stage rotor shape NVH optimization
https://doi.org/10.1063/1.4879567 On the use of optical fiber Bragg grating (FBG) sensor technology for strain modal analysis
https://doi.org/10.1007/978-3-319-29754-5_35 A State-Input Estimation Approach for Force Identification on an Automotive Suspension Component
https://doi.org/10.1109/evs.2013.6914767 NVH analysis of a 3 phase 12/8 SR motor drive for HEV applications
https://doi.org/10.3390/wevj7020179 Noise emissions on switched reluctance motors: evaluation of different structural models
https://doi.org/10.1109/models.2019.00009 CONDEnSe: Contract Based Design Synthesis
https://doi.org/10.1109/eeeic.2015.7165511 Noise and vibration behavior and analysis conditions of a 45kW induction motor
https://doi.org/10.1115/detc2015-47646 On the Effect of Lightweight Gear Blank Topology on Transmission Dynamics
https://doi.org/10.1088/1742-6596/744/1/012175 CR-Calculus and adaptive array theory applied to MIMO random vibration control tests
https://doi.org/10.1007/978-3-319-54810-4_9 Best Practices for Using Order-Based Modal Analysis for Industrial Applications
https://doi.org/10.3390/icem18-05289 Digital Image Correlation Measurements of Mode I Fatigue Delamination in Laminated Composites
https://doi.org/10.1016/j.energy.2019.07.121 Mechanistic modelling of cyclic voltage-capacity response for lithium-ion batteries
https://doi.org/10.1007/978-3-319-15251-6_19 Order Based Modal Analysis Versus Standard Techniques to Extract Modal Parameters of Operational Wind Turbine Gearboxes
https://doi.org/10.1109/icelmach.2014.6960523 Characterizing the motorization of a light electric vehicle through FEM and NVH tests
https://doi.org/10.1007/978-3-319-54735-0_21 A Mission Synthesis Procedure for Sine-on-Random Excitations in a Helicopter Application
https://doi.org/10.23919/aeit.2018.8577349 Electromagnetic and NVH study for low power Synchronous Reluctance Machine
https://doi.org/10.1117/12.2536892 Exploring alternative EUV mask absorber for iN5 self-aligned block and contact layers
https://doi.org/10.1016/j.enganabound.2019.10.009 Applications of an isogeometric indirect boundary element method and the importance of accurate geometrical representation in acoustic problems
https://doi.org/10.1007/978-3-319-20463-5_4 Evaluation and Improvement of Accuracy in the Instantaneous Angular Speed (IAS) and Torsional Vibration Measurement Using Zebra Tapes
https://doi.org/10.1177/0954410015608888 Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities
https://doi.org/10.1109/amc.2019.8371087 RoFaLT: An optimization-based learning control tool for nonlinear systems
https://doi.org/10.1007/978-3-030-12075-7_5 Investigating Nonlinearities in a Demo Aircraft Structure Under Sine Excitation
https://doi.org/10.2514/6.2016-1574 Nonlinear Negative Stiffness Wing-Tip Spring Device for Gust Loads Alleviation
https://doi.org/10.3390/s20154196 State and Force Estimation on a Rotating Helicopter Blade through a Kalman-Based Approach
https://doi.org/10.1007/978-3-030-47626-7_27 Nonlinear System Identification of a Jointed Structure Using Full-Field Data: Part II Analysis
https://doi.org/10.36001/phmconf.2020.v12i1.1178 Similarity-based anomaly score for fleet-based condition monitoring
https://doi.org/10.23919/icems50442.2020.9291196 The application of vibration synthesis on electric machines for skewed designs
https://doi.org/10.1109/epe50722.2020.9305616 Numerical Computation of Parasitic Slot Capacitances in Electrical Machines
https://doi.org/10.35848/1347-4065/ac54f5 Calibration and application of Gaussian random field models for exposure and resist stochastic in EUV lithography
https://doi.org/10.1088/1742-6596/2257/1/012012 Influence of blade deflections on wind turbine noise directivity
https://doi.org/10.7712/120215.4307.512 EVALUATION AND UNCERTAINTY QUANTIFICATION OF BIFURCATION DIAGRAM: LANDING GEAR, A CASE STUDY
https://doi.org/10.1109/vppc.2015.7352928 Design Process of Advanced Reluctance Machines for Electric Vehicle Applications: On Target Setting, Optimization of Different Reluctance Motors Technologies and Assessment of the Most Promising Propulsion Technology for Electric Vehicle Applications
https://doi.org/10.1007/978-3-319-74476-6_5 Enhancing Standard GVT Measurements with Digital Image Correlation
https://doi.org/10.1016/j.cad.2018.07.004 High-order 2D mesh curving methods with a piecewise linear target and application to Helmholtz problems
https://doi.org/10.1088/1757-899x/406/1/012057 Multi-instrument multi-scale experimental damage mechanics for fibre reinforced composites
https://doi.org/10.1109/ev.2019.8893122 Comparative study between PMSM models used for NVH system-level simulation
https://doi.org/10.1016/j.csda.2019.106893 Bias and covariance of the least squares estimate in a structured errors-in-variables problem
https://doi.org/10.1109/ccta41146.2020.9206260 Learning Control for Autonomous Driving on Slippery Snowy Road Conditions
https://doi.org/10.1109/icem49940.2020.9270731 In-Vehicle Identification of an Induction Machine Model for Operational Torque Prediction
https://doi.org/10.1007/978-3-031-07254-3_18 Machine Learning Techniques for Damage Detection in Wind Turbine Blades
https://doi.org/10.1117/12.2660763 Patterning assessment using 0.33NA EUV single mask for next generation DRAM manufacturing
https://doi.org/10.1016/j.ifacol.2023.10.1376 Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
https://doi.org/10.1007/978-3-642-29667-3_12 Design and Prototype of a Train-to-Wayside Communication Architecture
https://doi.org/10.1007/978-3-319-75390-4_20 Driving a Motion Platform with a Vibration Control Software for Multi-Axis Environmental Testing: Challenges and Solutions
https://doi.org/10.1007/978-3-319-74693-7_8 Characterization of Torsional Vibrations: Torsional-Order Based Modal Analysis
https://doi.org/10.1088/1742-6596/1075/1/012026 Experimental acoustic modal analysis of an automotive cabin: challenges and solutions
https://doi.org/10.1007/978-3-030-11220-2_11 A Fleet-Wide Approach for Condition Monitoring of Similar Machines Using Time-Series Clustering
https://doi.org/10.1007/978-3-030-29131-0_7 A High Fidelity Driving Simulation Platform for the Development and Validation of Advanced Driver Assistance Systems
https://doi.org/10.3390/app11073241 3D Acoustic Mapping in Automotive Wind Tunnel: Algorithm and Problem Analysis on Simulated Data
https://doi.org/10.1016/j.ymssp.2021.108103 Pre-test analysis to reproduce random pressure fields with multi-channel acoustic control
https://doi.org/10.1051/aacus/2021044 Power-based application of frequency-averaged 𝓁1-norm regularisation technique for the synthesis of accelerating indoor tyre pass-by noise
https://doi.org/10.1016/j.jsv.2022.117001 Flexible interface models for force/displacement field reconstruction applications
https://doi.org/10.1007/978-3-031-05445-7_7 Frequency Response Function Estimation for Systems with Multiple Inputs Using Short Measurement: A Benchmark Study
https://doi.org/10.1016/j.ymssp.2022.109652 Virtual pre-test analysis for optimization of multi-channel control strategies in direct field acoustic testing
https://doi.org/10.1017/jfm.2022.949 Direct and adjoint problems for sound propagation in non-uniform flows with lined and vibrating surfaces
https://doi.org/10.1109/icm54990.2023.10102033 State-oriented evaluation of observability and sensor placement for mechanical estimation applications
https://doi.org/10.1117/12.2660413 Application of resolution enhancement techniques at high NA EUV for next generation DRAM patterning
https://doi.org/10.1063/5.0204595 Development of a DIC-instrumented bubble inflation test: Characterization of ABS thermoforming
https://doi.org/10.1109/cca.2016.7587871 Distributed observer and controller design for state-output decomposed systems
https://doi.org/10.1109/iemdc.2017.8002225 Analytical multi-physics methodology for fast acoustic noise prediction of an external rotor SPMSM
https://doi.org/10.1109/ccta.2017.8062540 Consensus-based distributed sensor fusion over a network
https://doi.org/10.1117/12.2583837 Better prediction on patterning failure mode with hotspot aware OPC modeling
https://doi.org/10.1007/978-3-030-77135-5_1 Pre-test Predictions of Next-Level Assembly Using Calibrated Nonlinear Subcomponent Model
https://doi.org/10.1007/978-3-030-95405-5_20 Know Your Limits: Machine Learning with Rejection for Vehicle Engineering
https://doi.org/10.1088/1757-899x/1226/1/012053 Development of an innovative noise generation system for turboprop aircraft fuselage testing
https://doi.org/10.1007/978-3-031-04098-6_2 DIC Using Low Speed Cameras on a Scaled Wind Turbine Blade
https://doi.org/10.1117/12.2658651 Importance sampling in Gaussian random field EUV stochastic model for quantification of stochastic variability of EUV vias
https://doi.org/10.1117/1.jmm.22.4.041603 Applications of large field of view e-beam metrology to contour-based optical proximity correction modeling
https://doi.org/10.1016/j.ymssp.2025.112480 Robust vision-based estimation of structural parameters using Kalman filtering
https://doi.org/10.23919/icems60997.2024.10921252 On the use of Machine Learning to Improve the Analytical NVH Predictions of Electric Machines
https://doi.org/10.1117/12.3052252 AI-powered end-to-end product lifecycle: UX-centric human-in-the-loop system boosting reviewer productivity by 82% and accelerating decision-making via real-time anomaly detection and data refinement with GPU-accelerated computer vision, edge computing, and scalable cloud
https://doi.org/10.1108/030561201998000008 Laser drilling of blind holes in FR4/glass
https://doi.org/10.1109/isemc.2000.875610 Calculation of the ESD-pulse parameters and associated uncertainty for ESD-gun calibration
https://doi.org/10.1080/00202967.1989.11870844 Cobalt hardened gold layers for electrical connectors: Optimization of wear properties
https://doi.org/10.1016/j.jsv.2020.115244 A method for the observation of the anelastic behaviour of anisotropic porous materials using digital image correlation
https://doi.org/10.1007/978-3-319-50568-8_21 Strain Modal Analysis
https://doi.org/10.1007/978-3-030-11220-2_12 Remaining Useful Life Prediction of Rolling Element Bearings Based on Unscented Kalman Filter
https://doi.org/10.1109/syscon53536.2022.9773864 COGENT: A Concurrent Engineering and Generative Engineering Tooling Platform
https://doi.org/10.1016/b978-0-08-102228-3.00010-4 Metal Fibers—Steel
https://doi.org/10.1007/978-3-030-14628-3_11 Radar Signal Processing Chain for Sensor Model Development
https://doi.org/10.31224/osf.io/c974v Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation
https://doi.org/10.1007/978-3-031-04090-0_4 On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade
https://doi.org/10.1007/978-3-031-04122-8_15 Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques
https://doi.org/10.3390/psf2022004002 Direct and Inverse Characterization of the Asymmetric Hardening Behavior of Bulk Ti64 Alloy
https://doi.org/10.1051/aacus/2023029 Real-time sound synthesis of pass-by noise: comparison of spherical harmonics and time-varying filters
https://doi.org/10.1007/978-3-030-14628-3_13 Camera Sensor System Decomposition for Implementation and Comparison of Physical Sensor Models
https://doi.org/10.1007/978-3-030-47618-2_20 Virtual Sensing Application Cases Exploiting Various Degrees of Model Complexity
https://doi.org/10.1007/978-3-658-29717-6_34 Virtual sensing strategies utilizing various model complexities: industrial applications
https://doi.org/10.1007/978-3-031-05445-7_10 Robust Identification of Stable MIMO Modal State Space Models
https://doi.org/10.1109/itecasia-pacific59272.2023.10372275 On the use of parametric stator models for electrical machine vibration computation
https://doi.org/10.1109/itsc48978.2021.9564785 Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving
https://doi.org/10.23919/icems52562.2021.9634620 Analysis of two Finite Element based methods for the Vibro-Acoustic prediction of skewed electric machines
https://doi.org/10.1007/978-3-031-17471-1_8 Using Digital Image Correlation to Characterize the Static and Dynamic Behavior of Structures: Industrial Applications and Lessons Learned
https://doi.org/10.1145/3583133.3596323 Cost-Aware Active Learning for Feasible Region Identification
https://doi.org/10.1109/tits.2024.3484004 Predicting Mispredictions: A Model of Human Misjudgment About Vulnerable Road Users’ Trajectories
https://doi.org/10.23919/icems60997.2024.10921413 Fast and Accurate Radial-Flux PMSM Step-Skewing Computation Methodology for NVH Improvements Across the Machine Full Operation Range