| Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning S Zhai, B Gehring, G Reinhart Journal of Manufacturing Systems 61, 830-855, 2021 | 73 | 2021 |
| Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung S Zhai, G Reinhart Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (5), 298-301, 2018 | 26 | 2018 |
| Formulation and solution for the predictive maintenance integrated job shop scheduling problem S Zhai, A Riess, G Reinhart 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 19 | 2019 |
| Predictive maintenance integrated production scheduling by applying deep generative prognostics models: approach, formulation and solution S Zhai, MG Kandemir, G Reinhart Production Engineering, 1-24, 2022 | 18 | 2022 |
| Estimating machine power consumptions through aggregated measurements and machine data acquisition C Gebbe, F Klemm, S Zhai, G Reinhart Applied Mechanics and Materials 655, 61-66, 2014 | 9 | 2014 |
| An empirical expert study on the status quo and potential of predictive maintenance in industry S Zhai, S Achatz, M Groher, J Permadi, G Reinhart 2020 International Conference on Sensing, Diagnostics, Prognostics, and …, 2020 | 8 | 2020 |
| Predictive maintenance within the industrial value chain [Einblicke entlang der wertschöpfungskette predictive maintenance in der produktion C Nentwich, M Benker, J Ellinger, S Zhai, R Kleinwort, G Reinhart, M Zäh WT Werkstattstechnik, 2020 | 1 | 2020 |
| A Data-Driven Approach for Predictive Maintenance Integrated Production Scheduling SX Zhai Technische Universität München, 2023 | | 2023 |
