| Toward a generalized energy prediction model for machine tools R Bhinge, J Park, KH Law, DA Dornfeld, M Helu, S Rachuri Journal of manufacturing science and engineering 139 (4), 041013, 2017 | 104 | 2017 |
| A pedagogical module framework to improve scaffolded active learning in manufacturing engineering education A Mirkouei, R Bhinge, C McCoy, KR Haapala, DA Dornfeld Procedia Manufacturing 5, 1128-1142, 2016 | 96 | 2016 |
| Framework for identifying cybersecurity risks in manufacturing MJ Hutchins, R Bhinge, MK Micali, SL Robinson, JW Sutherland, ... Procedia Manufacturing 1, 47-63, 2015 | 82 | 2015 |
| Sustainability optimization for global supply chain decision-making R Bhinge, R Moser, E Moser, G Lanza, D Dornfeld Procedia Cirp 26, 323-328, 2015 | 67 | 2015 |
| An intelligent machine monitoring system for energy prediction using a Gaussian Process regression R Bhinge, N Biswas, D Dornfeld, J Park, KH Law, M Helu, S Rachuri 2014 IEEE International Conference on Big Data (Big Data), 978-986, 2014 | 62 | 2014 |
| A generalized data-driven energy prediction model with uncertainty for a milling machine tool using Gaussian Process J Park, KH Law, R Bhinge, N Biswas, A Srinivasan, DA Dornfeld, M Helu, ... International Manufacturing Science and Engineering Conference 56833 …, 2015 | 49 | 2015 |
| SMART motor for industry 4.0 S Dol, R Bhinge 2018 IEEMA Engineer Infinite Conference (eTechNxT), 1-6, 2018 | 27 | 2018 |
| Data analytics and uncertainty quantification for energy prediction in manufacturing R Ak, R Bhinge 2015 IEEE International Conference on Big Data (Big Data), 2782-2784, 2015 | 22 | 2015 |
| A material-general energy prediction model for milling machine tools H Budinoff, R Bhinge, D Dornfeld 2016 International Symposium on Flexible Automation (ISFA), 161-164, 2016 | 12 | 2016 |
| Data-intensive life cycle assessment (DILCA) for deteriorating products R Bhinge, A Srinivasan, S Robinson, D Dornfeld Procedia CIRP 29, 396-401, 2015 | 12 | 2015 |
| Development of a machine tool platform to support data mining and statistical modeling of machining processes M Helu, S Robinson, R Bhinge, T Bänziger, D Dornfeld Proc MTTRF 2014 Annual Meeting, San Francisco, CA, 2014 | 12 | 2014 |
| Integrated vibration and acoustic data fusion for chatter and tool condition classification in milling A Srinivasan, D Dornfeld, R Bhinge 2016 International Symposium on Flexible Automation (ISFA), 263-266, 2016 | 10 | 2016 |
| Real-time energy prediction for a milling machine tool using Sparse Gaussian Process Regression J Park, KH Law, R Bhinge, M Chen, D Dornfeld, S Rachuri 2015 IEEE International Conference on Big Data (Big Data), 1451-1460, 2015 | 9 | 2015 |
| A generalized method for featurization of manufacturing signals, with application to tool condition monitoring M Ferguson, KH Law, R Bhinge, YTT Lee International Design Engineering Technical Conferences and Computers and …, 2017 | 8 | 2017 |
| An Intelligent Machine Monitoring System Using Gaussian Process Regression for Energy Prediction R Bhinge, J Park, N Biswas, M Helu, D Dornfeld, K Law, S Rachuri IEEE International Conference on Big Data, 2014 | 7 | 2014 |
| Supporting manufacturing system design: a case study on application of InDeaTe design tool for a smart manufacturing system design P Uchil, K Ghadge, S Acharya, R Bhinge, S Robinson, D Dornfeld, ... Research into Design for Communities, Volume 2: Proceedings of ICoRD 2017 …, 2017 | 6 | 2017 |
| Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing M Ferguson, KH Law, R Bhinge, D Dornfeld, J Park, YTT Lee 2016 IEEE International Conference on Big Data (Big Data), 2014-2023, 2016 | 6 | 2016 |
| A data processing pipeline for prediction of milling machine tool condition from raw sensor data M Ferguson, R Bhinge, J Park, YT Lee, KH Law Smart and sustainable manufacturing systems 2, 2018 | 4 | 2018 |
| Acoustic and vibration sensing apparatus and method for monitoring cutting tool operation R Bhinge, YC Chen, J Choi, J Dai, D Dornfeld, W Musial, R Gentile US Patent 10,821,567, 2020 | 3 | 2020 |
| Magnetic add-on system with vibration and acoustic sensing capabilities for tool condition monitoring R Bhinge, YC Chen, K Winer US Patent App. 16/118,109, 2019 | 2 | 2019 |
