| Analysis of statistical methods for assessment of power transformer frequency response measurements M Tahir, S Tenbholen, S Miyazaki IEEE Transactions on Power Delivery 36 (2), 618-626, 2020 | 49 | 2020 |
| Transformer winding condition assessment using feedforward artificial neural network and frequency response measurements M Tahir, S Tenbohlen Energies 14 (11), 3227, 2021 | 28 | 2021 |
| A comprehensive analysis of windings electrical and mechanical faults using a high-frequency model M Tahir, S Tenbohlen Energies 13 (1), 105, 2019 | 21 | 2019 |
| Detection and quantitative diagnosis of axial displacement of transformer winding by frequency response analysis S Miyazaki, M Tahir, S Tenbohlen IET Generation, Transmission & Distribution 13 (15), 3493-3500, 2019 | 20 | 2019 |
| Evaluation of numerical indices for objective interpretation of frequency response to detect mechanical faults in power transformers M Tahir, S Tenbohlen, MH Samimi Proceedings of the 21st International Symposium on High Voltage Engineering …, 2020 | 14 | 2020 |
| A new approach for high frequency modelling of disc windings S Tenbohlen, M Tahir, E Rahimpour, B Poulin, S Miyazaki CIGRE 2018, Paris, August 2018 2, 2018 | 14 | 2018 |
| FRA lookup charts for the quantitative determination of winding axial displacement fault in power transformers M Tahir, S Tenbohlen IET Electric Power Applications 14 (12), 2370-2377, 2020 | 10 | 2020 |
| Influence of employing different measuring systems on measurement repeatability in frequency response analyses of power transformers S Miyazaki, Y Mizutani, M Tahir, S Tenbohlen IEEE Electrical Insulation Magazine 35 (2), 27-33, 2019 | 5 | 2019 |
| Novel calculation method for power transformer winding fault detection using Frequency Response Analysis M Tahir, S Tenbohlen 5th International Colloquium “Transformer Research and Asset Management, 2019 | 5 | 2019 |
| Sensitivity of connection schemes for detection of axial displacement of transformer winding by frequency response analysis S Miyazaki, M Tahir, S Tenbohlen 2018 IEEE International Conference on High Voltage Engineering and …, 2018 | 5 | 2018 |
| Optimization of FRA by an improved numerical winding model: Disk space variation M Tahir, S Tenbohlen, S Miyazaki VDE High Voltage Technology 2018; ETG-Symposium, 1-6, 2018 | 4 | 2018 |
| Transformer winding fault classification and condition assessment based on random forest using FRA M Tahir, S Tenbohlen Energies 16 (9), 3714, 2023 | 2 | 2023 |
| Comparison of FRA data measured by different instruments with different frequency resolution S Miyazaki, Y Mizutani, M Tahir, S Tenbohlen 2018 IEEE International Conference on High Voltage Engineering and …, 2018 | 2 | 2018 |
| Transformer Winding Condition Assessment Using Feedforward Artificial Neural Network and Frequency Response Measurements. Energies 2021, 14, 3227 M Tahir, S Tenbohlen s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Digital twin of cast resin transformers M Tahir Transformers Magazine 10 (SE2), 96-103, 2023 | | 2023 |
| Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA. Energies 2023, 16, 3714 M Tahir, S Tenbohlen | | 2023 |
| Use of Multiphysics Simulation Tools for Making a Digital Twin of Power Transformers Stefan TENBOHLEN*, Chandra P. BEURA1, Saeed KHANDAN1, Malte GERBER1, Mehran TAHIR1 … S TENBOHLEN, CP BEURA, S KHANDAN, M GERBER, M TAHIR, ... | | 2022 |
| A CASE STUDY TO INVESTIGATE TRANSFORMER WINDING INTER-TURN SHORT CIRCUIT FAULTS USING FRA MEASUREMENTS M Tahir, S Tenbohlen | | |
| Towards Objective Interpretation of Frequency Response of Power Transformers M Tahir, S Tenbohlen | | |
