Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing J Lee, M Azamfar, J Singh, S Siahpour IET Collaborative Intelligent Manufacturing 2 (1), 34-36, 2020 | 278 | 2020 |
A novel transfer learning approach in remaining useful life prediction for incomplete dataset S Siahpour, X Li, J Lee IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 89 | 2022 |
Deep learning-based intelligent process monitoring of directed energy deposition in additive manufacturing with thermal images X Li, S Siahpour, J Lee, Y Wang, J Shi Procedia Manufacturing 48, 643-649, 2020 | 81 | 2020 |
Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators S Siahpour, X Li, J Lee International Journal of Dynamics and Control 8 (4), 1054-1062, 2020 | 38 | 2020 |
Introduction to resilient manufacturing systems J Lee, S Siahpour, X Jia, P Brown Manufacturing Letters 32, 24-27, 2022 | 26 | 2022 |
Dynamics and vibrations of particle-sensing MEMS considering thermal and electrostatic actuation S Siahpour, MM Zand, M Mousavi Microsystem Technologies 24, 1545-1552, 2018 | 26 | 2018 |
Intelligent robust cross-domain fault diagnostic method for rotating machines using noisy condition labels A Ainapure, S Siahpour, X Li, F Majid, J Lee Mathematics 10 (3), 455, 2022 | 17 | 2022 |
Thermal study of domed roofs in a traditional bazaar (the case of old Ganj-Alikhan bazaar in Kerman, Iran) E Sedighi, M Yaghoubi, SM Mousavi, S Siahpour Energy for Sustainable Development 39, 67-81, 2017 | 17 | 2017 |
Morphing omni-directional panel mechanism: a novel active roof design for improving the performance of the wind delivery system S Siahpour, FN Khakiani, V Fazlollahi, A Golozar, FA Shirazi Energy 217, 119400, 2021 | 13 | 2021 |
A novel aerodynamic controllable roof for improving performance of INVELOX wind delivery system A Golozar, FA Shirazi, S Siahpour, FN Khakiani, K Gaemi Osguei Wind Engineering 45 (3), 477-490, 2021 | 12 | 2021 |
Integration of digital twin and deep learning in cyber-physical systems: Towards smart manufacturing. IET Collaborative Intelligent Manufacturing, 2 (1), 34–36 J Lee, M Azamfar, J Singh, S Siahpour | 12 | 2020 |
Stream-of-quality methodology for industrial internet-based manufacturing system J Lee, P Gore, X Jia, S Siahpour, P Kundu, K Sun Manufacturing Letters 34, 58-61, 2022 | 11 | 2022 |
Effect of added mass distribution on the dynamic PI and frequency shifting in MEMS and NEMS biosensors M Mousavi, M Moghimi Zand, S Siahpour Microsystem Technologies 27, 693-702, 2021 | 9 | 2021 |
Robust wake steering control design in a wind farm for power optimisation using adaptive learning game theory (algt) method V Fazlollahi, FA Shirazi, M Taghizadeh, S Siahpour International Journal of Control 96 (3), 628-644, 2023 | 6 | 2023 |
A deep learning framework for health anomaly detection of multi-component systems in evolving environments: a case study in PHM S Siahpour, A Ainapure, X Li, J Lee 30th European Safety and Reliability Conference and 15th Probabilistic …, 2020 | 5 | 2020 |
Novel ensemble domain adaptation methodology for enhanced multi-class fault diagnosis of highly-connected fleet of assets T Minami, A Suer, P Kundu, S Siahpour, J Lee Phm society asia-pacific conference 4 (1), 2023 | 3 | 2023 |
Robust linear parameter varying fault reconstruction of wind turbine pitch actuator using second-order sliding mode observer M Mousavi, M Ayati, MR Hairi-Yazdi, S Siahpour Journal of Electrical and Computer Engineering Innovations (JECEI) 11 (1 …, 2023 | 3 | 2023 |
Fault detection and isolation of wind turbine gearbox via noise-assisted multivariate empirical mode decomposition algorithm. S Siahpour, M Ayati, M Haeri-Yazdi, M Mousavi Energy Equipment & Systems, 2022 | 3 | 2022 |
Intelligent Monitoring System Based on Noise‐Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks LF Zhao, S Siahpour, MR Haeri Yazdi, M Ayati, TY Zhao Computational intelligence and neuroscience 2022 (1), 2698498, 2022 | 3 | 2022 |
Advancing predictive maintenance: A study of domain adaptation for fault identification in gearbox components S Tsuruta, K Wakimoto, T Nakamura, S Siahpour, M Miller, J Taco, J Lee PHM Society Asia-Pacific Conference 4 (1), 2023 | 1 | 2023 |