Dr.-Ing. Rosmawati Jihin
 | Ungku Omar Polytechnic, Malaysia
|
Lehrstuhl SRS - Team
Kurzvita / CV
| 2019 | Dr.-Ing. Mechanical Engineering, Faculty of Engineering, University of Duisburg-Essen, Germany |
| 2014 | Lecturer, Department of Mechanical Engineering, Ungku Omar Polytechnic, Malaysia |
| 2014 | M.Eng. in Mechanical Engineering, Faculty of Engineering, University of Malaya, Malaysia |
| 2004 | B.Eng. (Hons.) in Mechanical Engineering, Faculty of Engineering, University of Malaya, Malaysia |
Veröffentlichungen / Publications
- Jihin, R.; Kögler, F.; Söffker, D. : Data Driven State Machine Model for Industry 4.0 Lifetime Modeling and Identification of Irrigation Control Parameters. GIoTS'19 : 3rd Global IoT Summit (2019), Aarhus, Denmark, 2019. , [Link]
- Jihin, R.; Söffker, D.: Lifetime Prediction Considering Nonlinearity in Degradation Progression. ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), Anaheim, CA, USA, 2019. , [Link]
- Jihin, R.; Söffker, D.: Health State Assessment and Lifetime Prediction Based On Unsupervised State Estimation. ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), Anaheim, CA, USA, 2019. , [Link]
- Jihin, R.; Söffker, D.; Beganovic, N.: Integrated Prognostic Model For RUL Estimation Using Threshold Optimization. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2017, Stanford, USA, September 12-14, 2017, pp. 640-647.