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Impact of Material Data Availability on Iron Loss Modeling in High-Speed PMSMS2025 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) conference-paper Engineering Electric Motor Design and Analysis
Ioannis Thomidis, Walaa Chliouet Benaboud, Rik W. De Doncker
0citations -
A data-driven flow loss prediction model for the blade hub region of a boundary layer ingestion fan rotor2023 International Journal of Numerical Methods for Heat & Fluid Flow article Engineering Turbomachinery Performance and Optimization
Hanan Lu, Xizhen Song, Tianyu Pan, Zhe Yang, Jian Zhang, Qiushi Li
3citations -
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
0citations -
A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis2023 IEEE Transactions on Instrumentation and Measurement article Engineering Machine Fault Diagnosis Techniques
Yuan Wei, Zhijun Xiao, Shulin Liu, Kai‐Uwe Schröder, Hongchong Peng, Ababacar Michel Sarr, +1 more
26citations -
Self-Calibrating Loss Models for Real-Time Monitoring of Power Modules Based on Artificial Neural Networks2022 IEEE Energy Conversion Congress and Exposition (ECCE) conference-paper Engineering Silicon Carbide Semiconductor Technologies cited by 1 patent
Sven Kalker, David Meier, Christoph H. van der Broeck, Rik W. De Doncker
11citations