| Intelligent fault diagnosis of rotating machine elements using machine learning through optimal features extraction and selection SM Tayyab, E Asghar, P Pennacchi, S Chatterton Procedia Manufacturing 51, 266-273, 2020 | 37 | 2020 |
| Intelligent defect diagnosis of rolling element bearings under variable operating conditions using convolutional neural network and order maps SM Tayyab, S Chatterton, P Pennacchi Sensors 22 (5), 2026, 2022 | 31 | 2022 |
| Fault detection and severity level identification of spiral bevel gears under different operating conditions using artificial intelligence techniques SM Tayyab, S Chatterton, P Pennacchi Machines 9 (8), 173, 2021 | 23 | 2021 |
| Image-Processing-Based intelligent defect diagnosis of rolling element bearings using spectrogram images SM Tayyab, S Chatterton, P Pennacchi Machines 10 (10), 908, 2022 | 7 | 2022 |
| Effects of Varying Peak Shape on Aerodynamic Performance of a Corrugated Airfoil Z Shabbir, HR Shah, A Mansoor, A Ahmed, SM Tayyab AIAA Scitech 2020 Forum, 2220, 2020 | 4 | 2020 |
| Anomaly Detection and Localization Using LSTM Based Autoencoder with Maximal Overlap Discrete Wavelet Transform for Structural Health Monitoring SHM Rizvi, M Abbas, SMT Tayyab Preprints, 2023 | 2 | 2023 |
| Intelligent defect diagnosis of spiral bevel gears under different operating conditions using ANN and KNN classifiers SM Tayyab, P Pennacchi, S Chatterton, E Asghar ASME International Mechanical Engineering Congress and Exposition 85611 …, 2021 | 2 | 2021 |
| Novel data-driven/model-based automatic health characterization for fault detection, diagnosis and prognosis of machinery and its control SM Tayyab | | 2022 |
