Adaptive Deep Belief Networks and LightGBM-Based Hybrid Fault Diagnostics for SCADA-Managed PV Systems : A Real-World Case StudyKull, Karl; Khan, Muhammad Amir; Asad, Bilal; Naseer, Muhammad Usman; Kallaste, Ants; Vaimann, ToomasElectronics2025 / art. 3649 https://doi.org/10.3390/electronics14183649

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Faults, Failures, Reliability, and Predictive Maintenance of Grid-Connected Solar Systems : A Comprehensive ReviewKull, Karl; Asad, Bilal; Khan, Muhammad Amir; Naseer, Muhammad Usman; Kallaste, Ants; Vaimann, ToomasApplied Sciences2025 / art. 11461 https://doi.org/10.3390/app152111461

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction MotorsKhan, Muhammad Amir; Asad, Bilal; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, AntsMachines2026 / art. 68 https://doi.org/10.3390/machines14010068

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 Article at Scopus Article at WOS