| A survey of the advancing use and development of machine learning in smart manufacturing M Sharp, R Ak, T Hedberg Jr Journal of manufacturing systems 48, 170-179, 2018 | 377 | 2018 |
| Discovering critical KPI factors from natural language in maintenance work orders M Navinchandran, ME Sharp, MP Brundage, TB Sexton Journal of Intelligent Manufacturing 33 (6), 1859-1877, 2022 | 52 | 2022 |
| Toward semi-autonomous information: Extraction for Unstructured Maintenance Data in Root Cause Analysis M Sharp, T Sexton, MP Brundage IFIP International Conference on Advances in Production Management Systems …, 2017 | 41* | 2017 |
| Instrumentation and controls in nuclear power plants: An emerging technologies update K Korsah, DE Holcomb, MD Muhlheim, JA Mullens, A Loebl, M Bobrek, ... U.. S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2009 | 39 | 2009 |
| Neural network-based build time estimation for additive manufacturing: a performance comparison Y Oh, M Sharp, T Sprock, S Kwon Journal of Computational Design and Engineering 8 (5), 1243-1256, 2021 | 34 | 2021 |
| Developing a hierarchical decomposition methodology to increase manufacturing process and equipment health awareness BA Weiss, M Sharp, A Klinger Journal of manufacturing systems 48, 96-107, 2018 | 31 | 2018 |
| Sensor-based degradation prediction and prognostics for remaining useful life estimation: Validation on experimental data of electric motors F Barbieri, JW Hines, M Sharp, M Venturini International Journal of Prognostics and Health Management 6 (3), 2015 | 29 | 2015 |
| Studies to predict maintenance time duration and important factors from maintenance workorder data M Navinchandran, ME Sharp, MP Brundage, TB Sexton Annual Conference of the PHM Society 11 (1), 2019 | 28 | 2019 |
| Defining requirements for integrating information between design, manufacturing, and inspection TD Hedberg Jr, ME Sharp, TMM Maw, MM Helu, MM Rahman, S Jadhav, ... International journal of production research 60 (11), 3339-3359, 2022 | 23 | 2022 |
| Prognostic approaches using transient monitoring methods ME Sharp | 20 | 2012 |
| Simple Metrics for Evaluation and Conveying Prognostic Model Performance to Users with Varied Backgrounds M Sharp Annual Conference of the Prognostics and Health Management Society, 2013 | 17 | 2013 |
| Improving the Process of Obtaining Informed Consent. SM Sharp Applied Clinical Trials 10 (1), 2001 | 16 | 2001 |
| Feasibility study for an automated engineering change process ME Sharp, TD Hedberg Jr, WZ Bernstein, S Kwon International journal of production research 59 (16), 4995-5010, 2021 | 15 | 2021 |
| Procedural guide for system-level impact evaluation of industrial artificial intelligence-driven technologies: Application to risk-based investment analysis for condition … M Sharp, M Dadfarnia, T Sprock, D Thomas Journal of manufacturing science and engineering 144 (7), 071008, 2022 | 13 | 2022 |
| Prognostics for light water reactor sustainability: empirical methods for heat exchanger prognostic lifetime predictions Z Welz, A Nam, M Sharp, JW Hines, BR Upadhyaya PHM Society European Conference 2 (1), 2014 | 12 | 2014 |
| Hierarchical modeling of a manufacturing work cell to promote contextualized PHM information across multiple levels M Sharp, BA Weiss Manufacturing letters 15, 46-49, 2018 | 11 | 2018 |
| KPI extraction from maintenance work orders—a comparison of expert labeling, text classification and AI-assisted tagging for computing failure rates of wind turbines MA Lutz, B Schäfermeier, R Sexton, M Sharp, A Dima, S Faulstich, ... Energies 16 (24), 7937, 2023 | 10 | 2023 |
| Observations on developing reliability information utilization in a manufacturing environment with case study: robotic arm manipulators M Sharp The International Journal of Advanced Manufacturing Technology 102 (9), 3243 …, 2019 | 10 | 2019 |
| Lifecycle prognostic algorithm development and application to test beds A Nam, M Sharp, JW Hines, B Upadhyaya Chemical Engineering Transactions 33, 2013 | 8 | 2013 |
| Diagnostics of machine tool linear axes via separation of geometric error sources GW Vogl, ME Sharp Annual Conference of the PHM Society 9 (1), 2017 | 7 | 2017 |
Thomas Hedberg JrUniversity of Maryland Institute for Systems ResearchVerified email at umd.edu
