| Machine Learning Methods for Wind Turbine Condition Monitoring: A Review A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn, M Barnes, J Keane, ... Renewable energy 133, 620-635, 2019 | 696 | 2019 |
| An FMEA-based risk assessment approach for wind turbine systems: a comparative study of onshore and offshore M Shafiee, F Dinmohammadi Energies 7 (2), 619-642, 2014 | 179 | 2014 |
| A fuzzy-FMEA risk assessment approach for offshore wind turbines F Dinmohammadi, M Shafiee International Journal of Prognostics and Health Management 4 (13), 59-68, 2013 | 133 | 2013 |
| Risk evaluation of railway rolling stock failures using FMECA technique: a case study of passenger door system F Dinmohammadi, B Alkali, M Shafiee, C Bérenguer, A Labib Urban Rail Transit 2, 128-145, 2016 | 80 | 2016 |
| A physics-based electrochemical model for lithium-ion battery state-of-charge estimation solved by an optimised projection-based method and moving-window filtering W He, M Pecht, D Flynn, F Dinmohammadi Energies 11 (8), 2120, 2018 | 77 | 2018 |
| Unmanned aerial drones for inspection of offshore wind turbines: A mission-critical failure analysis M Shafiee, Z Zhou, L Mei, F Dinmohammadi, J Karama, D Flynn Robotics 10 (1), 26, 2021 | 76 | 2021 |
| Determination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision model F Dinmohammadi, M Shafiee Energies 10 (5), 642, 2017 | 71 | 2017 |
| Artificial intelligence in prognostics and health management of engineering systems S Ochella, M Shafiee, F Dinmohammadi Engineering Applications of Artificial Intelligence 108, 104552, 2022 | 66 | 2022 |
| Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications F Dinmohammadi, D Flynn, C Bailey, M Pecht, C Yin, P Rajaguru, V Robu IEEE Access 7, 54658-54669, 2019 | 51 | 2019 |
| Probabilistic model checking of robots deployed in extreme environments X Zhao, V Robu, D Flynn, F Dinmohammadi, M Fisher, M Webster Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8066-8074, 2019 | 43 | 2019 |
| Verifiable Self-Certifying Autonomous Systems M Fisher, E Collins, L Dennis, M Luckcuck, M Webster, M Jump, V Page, ... 2018 IEEE International Symposium on Software Reliability Engineering …, 2018 | 36 | 2018 |
| A fuzzy DEMATEL-ANP-VIKOR analytical model for maintenance strategy selection of safety critical assets MA Arjomandi, F Dinmohammadi, B Mosallanezhad, M Shafiee Advances in Mechanical Engineering 13 (4), 1687814021994965, 2021 | 28 | 2021 |
| A stochastic Petri net model for O&M planning of floating offshore wind turbines T Elusakin, M Shafiee, T Adedipe, F Dinmohammadi Energies 14 (4), 1134, 2021 | 18 | 2021 |
| A Risk-based Modelling Approach to Maintenance Optimization of Railway Rolling Stock F Dinmohammadi Journal of Quality in Maintenance Engineering, 2019 | 16 | 2019 |
| Predicting energy consumption in residential buildings using advanced machine learning algorithms F Dinmohammadi, Y Han, M Shafiee Energies 16 (9), 3748, 2023 | 12 | 2023 |
| Certification of Safe and Trusted Robotic Inspection of Assets F Dinmohammadi, V Page, D Flynn, V Robu, M Fisher, C Patchett, ... 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 12 | 2018 |
| Failure analysis informing embedded health monitoring of electromagnetic relays L Kirschbaum, F Dinmohammadi, D Flynn, V Robu, M Pecht 2018 3rd International Conference on System Reliability and Safety (ICSRS …, 2018 | 10 | 2018 |
| Expert-Driven and Data-Driven Risk-Centred Maintenance Decision-Making Approaches for Railway Transport Assets F Dinmohammadi CRC Press, 2018 | 9* | 2018 |
| A risk-based model for inspection and maintenance of railway rolling stock F Dinmohammadi, M Shafiee, B Alkali CRC Press, 2016 | 9 | 2016 |
| Current Practice and Challenges Towards Handling Uncertainty for Effective Outcomes in Maintenance A Grenyer, F Dinmohammadi, JA Erkoyuncu, Y Zhao, R Roy Procedia CIRP 86, 282-287, 2019 | 8 | 2019 |
