• An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodologyKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsMachines2024 / art. 495 https://doi.org/10.3390/machines12070495
• The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296 https://www.scopus.com/sourceid/62932 https://www.scopus.com/record/display.uri?eid=2-s2.0-85145779050&origin=inward&txGid=41b3e2b46b7fd356d433a77f9def5255 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000909451700001
• Improved diagnostic approach for BRB detection and classification in inverter-driven induction motors employing sparse stacked autoencoder (SSAE) and lightGBMKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsElectronics (Switzerland)2024 / art. 1292 https://doi.org/10.3390/electronics13071292
• Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963 https://www.scopus.com/sourceid/21100838145 https://www.scopus.com/record/display.uri?eid=2-s2.0-85175036448&origin=inward&txGid=91da1211f9ad44fbfe9f3cc3ffda7a84 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=MACHINES&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001096362300001
• MWFA model based synthetic data creation and utilization for the training of XGBoost based fault diagnostic algorithm of a squirrel cage induction motorAsad, Bilal; Khan, Muhammad Amir; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Naseer, Muhammad Usman2024 International Conference on Electrical Machines (ICEM)2024 / 7 p https://doi.org/10.1109/ICEM60801.2024.10700453