Modified Winding Function Analysis of Synchronous Reluctance Motor for Design Iteration Purposes von Naseer, Muhammad Usman, Kallaste, Ants, Asad, Bilal, Vaimann, Toomas, Rassolkin, Anton

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A Review on Additive Manufacturing Possibilities for Electrical Machines von Naseer, Muhammad Usman, Kallaste, Ants, Asad, Bilal, Vaimann, Toomas, Rassõlkin, Anton

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The Bearing Faults Detection Methods for Electrical Machines—The State of the Art von Khan, Muhammad Amir, Asad, Bilal, Kudelina, Karolina, Vaimann, Toomas, Kallaste, Ants

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Object Detection at Level Crossing Using Deep Learning von Fayyaz, Muhammad Asad Bilal, Johnson, Christopher

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Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and LightGBM von Khan, Muhammad Amir, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants

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Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning von Kudelina, Karolina, Vaimann, Toomas, Asad, Bilal, Rassõlkin, Anton, Kallaste, Ants, Demidova, Galina

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Analytical modelling of synchronous reluctance motor including non‐linear magnetic condition von Naseer, Muhammad Usman, Kallaste, Ants, Asad, Bilal, Vaimann, Toomas, Rassõlkin, Anton

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State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions von Akbar, Siddique, Vaimann, Toomas, Asad, Bilal, Kallaste, Ants, Sardar, Muhammad Usman, Kudelina, Karolina

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Generation of Unmeasured Loading Levels Data for Condition Monitoring of Induction Machine Using Machine Learning von Billah, Md Masum, Saberi, Alireza Nemat, Hemeida, Ahmed, Martin, Floran, Kudelina, Karolina, Asad, Bilal, Naseer, Muhammad U, Mukherjee, Victor, Belahcen, Anouar

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Magnetic Equivalent Circuit and Lagrange Interpolation Function Modeling of Induction Machines Under Broken Bar Faults von Hemeida, Ahmed, Billah, Md Masum, Kudelina, Karolina, Asad, Bilal, Naseer, Muhammad U, Guo, Baocheng, Martin, Floran, Rasilo, Paavo, Belahcen, Anouar

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AC Magnetic Loss Reduction of SLM Processed Fe-Si for Additive Manufacturing of Electrical Machines von Tiismus, Hans, Kallaste, Ants, Belahcen, Anouar, Tarraste, Marek, Vaimann, Toomas, Rassõlkin, Anton, Asad, Bilal, Shams Ghahfarokhi, Payam

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Methods of Condition Monitoring and Fault Detection for Electrical Machines von Kudelina, Karolina, Asad, Bilal, Vaimann, Toomas, Rassõlkin, Anton, Kallaste, Ants, Khang, Huynh Van

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Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model von Rassolkin, Anton, Rjabtsikov, Viktor, Kuts, Vladimir, Vaimann, Toomas, Kallaste, Ants, Asad, Bilal, Partyshev, Andriy

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Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques von Sardar, Muhammad Usman, Vaimann, Toomas, Kütt, Lauri, Kallaste, Ants, Asad, Bilal, Akbar, Siddique, Kudelina, Karolina

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Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network von Iqbal, Muhammad Naveed, Kütt, Lauri, Daniel, Kamran, Asad, Bilal, Shams Ghahfarokhi, Payam

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An Advanced Diagnostic Approach for Broken Rotor Bar Detection and Classification in DTC Controlled Induction Motors by Leveraging Dynamic SHAP Interaction Feature Selection (DSHAP... von Khan, Muhammad Amir, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants

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Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines von Raja, Hadi Ashraf, Kudelina, Karolina, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants, Rassõlkin, Anton, Khang, Huynh Van

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Opportunities and Challenges of Utilizing Additive Manufacturing Approaches in Thermal Management of Electrical Machines von Ghahfarokhi, Payam Shams, Podgornovs, Andrejs, Kallaste, Ants, Cardoso, Antonio J. Marques, Belahcen, Anouar, Vaimann, Toomas, Tiismus, Hans, Asad, Bilal

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Spectrum Analysis for Condition Monitoring and Fault Diagnosis of Ventilation Motor: A Case Study von Shabbir, Noman, Kütt, Lauri, Asad, Bilal, Jawad, Muhammad, Iqbal, Muhammad Naveed, Daniel, Kamran

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Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms von Khan, Muhammad Amir, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants, Pomarnacki, Raimondas, Hyunh, Van Khang

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