| A systematic review of multivariate uncertainty quantification for engineering systems A Grenyer, JA Erkoyuncu, Y Zhao, R Roy CIRP Journal of Manufacturing Science and Technology 33, 188-208, 2021 | 18 | 2021 |
| 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 | 11 | 2019 |
| Conceptualising the impact of information asymmetry on through-life cost: case study of machine tools sector M Farsi, A Grenyer, M Sachidananda, M Sceral, S Mcvey, J Erkoyuncu, ... Procedia Manufacturing 16, 99-106, 2018 | 11 | 2018 |
| Identifying challenges in quantifying uncertainty: Case study in infrared thermography A Grenyer, S Addepalli, Y Zhao, L Oakey, JA Erkoyuncu, R Roy Procedia CIRP 73, 108-113, 2018 | 6 | 2018 |
| Multistep prediction of dynamic uncertainty under limited data A Grenyer, O Schwabe, JA Erkoyuncu, Y Zhao CIRP Journal of Manufacturing Science and Technology 37, 37-54, 2022 | 5 | 2022 |
| An Uncertainty Quantification and Aggregation Framework for System Performance Assessment in Industrial Maintenance A Grenyer, JA Erkoyuncu, S Addepalli, Y Zhao TESConf, 2020 | 4 | 2020 |
| Dynamic multistep uncertainty prediction in spatial geometry A Grenyer, O Schwabe, JA Erkoyuncu, Y Zhao Procedia CIRP 96, 74-79, 2021 | 3 | 2021 |
| A design framework for technology prioritisation in the context of through-life engineering services J Chi, C Latsou, JA Erkoyuncu, A Grenyer, K Rushton, S Brocklebank Procedia CIRP 100, 524-529, 2021 | 1 | 2021 |
| Compound Uncertainty Quantification and Aggregation for Reliability Assessment in Industrial Maintenance A Grenyer, JA Erkoyuncu, S Addepalli, Y Zhao Machines 11 (5), 560, 2023 | | 2023 |
| Compound uncertainty quantification and aggregation (CUQA) for reliability assessment in industrial maintenance A Grenyer, JA Erkoyuncu, S Addepalli, Y Zhao MDPI, 2023 | | 2023 |
| Data relating to:" Multistep prediction of dynamic uncertainty under limited data"(2022) A Grenyer, O Schwabe, Y Zhao Cranfield University, 2022 | | 2022 |
| Data relating to:" Dynamic multistep uncertainty prediction in spatial geometry"(2020) A Grenyer, O Schwabe, Y Zhao Cranfield Online Research Data (CORD), 2021 | | 2021 |
| Data relating to:" An uncertainty quantification and aggregation framework for system performance assessment in industrial maintenance"(2020) A Grenyer, P Addepalli, Y Zhao Cranfield University, 2021 | | 2021 |
| Advanced uncertainty quantification with dynamic prediction techniques under limited data for industrial maintenance applications. A Grenyer Cranfield University, 2021 | | 2021 |
| Data relating to:" Current practice and challenges towards handling uncertainty for effective outcomes in maintenance"(2019) A Grenyer, F Dinmohammadi, Y Zhao, R Roy Cranfield University, 2020 | | 2020 |
| Data relating to:" Identifying challenges in quantifying uncertainty: case study in infrared thermography"(2018) A Grenyer, P Addepalli, Y Zhao, L Oakey, R Roy Cranfield University, 2020 | | 2020 |
| Data relating to:" Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance"(2021) A Grenyer, P Addepalli, Y Zhao Cranfield University, 0 | | |
Professor Yifan ZhaoProfessor of Data Science, Cranfield University在 cranfield.ac.uk 的电子邮件经过验证
