| A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data OO Aremu, D Hyland-Wood, PR McAree Reliability Engineering & System Safety 195, 106706, 2020 | 66 | 2020 |
| A relative entropy based feature selection framework for asset data in predictive maintenance OO Aremu, RA Cody, D Hyland-Wood, PR McAree Computers & Industrial Engineering 145, 106536, 2020 | 48 | 2020 |
| Exploring the relationship between data science and circular economy: an enhanced CRISP-DM process model E Kristoffersen, OO Aremu, F Blomsma, P Mikalef, J Li Digital Transformation for a Sustainable Society in the 21st Century: 18th …, 2019 | 46 | 2019 |
| Structuring Data for Intelligent Predictive Maintenance in Asset Management O Aremu, A Salvador Palau, AKN Parlikad, D Hyland-Wood, PR McAree | 43 | 2018 |
| A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data OO Aremu, D Hyland-Wood, PR McAree Advanced Engineering Informatics 40, 121-134, 2019 | 30 | 2019 |
| Kullback-leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systems OO Aremu, DO O’Reilly, D Hyland-Wood, PR McAree 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 9 | 2019 |
| Achieving a representation of asset data conducive to machine learning driven predictive maintenance O Aremu | 4 | 2020 |
| Machine learning-based embedding for discontinuous time series machine data OO Aremu, D Hyland-Wood, PR McAree 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 3 | 2019 |
| System and Method for Controlling a Machine O Aremu, M Schilling US Patent 10234856B2, 2019 | | 2019 |
David Hyland-WoodAdjunct Associate Professor, School of ITEE, The University of Queensland在 hyland-wood.org 的电子邮件经过验证
