Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- Professorship of Control and Drive Systems
- Professorship of Production Management
Organisation profile
The members of the Institute for Production Technology and Systems (IPTS) carry out work on a wide range of engineering-related research questions.
When it comes to subjects, the members of the Institute concentrate on the topics of supply chain management and production management, as well as on measurement, control, plasma, production and material technology. Within these fields, we aim to answer current research questions through both experimental work and the use of digital modelling. Our overarching goal here is to provide better solution strategies for complex problems within the field of engineering.
Main research areas
The members of the department investigate this field from both a production management and a technical perspective.
Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.
- Published
An on-line orthogonal wavelet denoising algorithm for high-resolution surface scans
Schimmack, M. & Mercorelli, P., 12.2018, In: Journal of the Franklin Institute. 355, 18, p. 9245-9270 26 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
Chen, Z. & Georgiadis, A., 11.2019, 2019 4th International Conference on Robotics and Automation Engineering (ICRAE 2019): November 22-24, 2019, Singapore . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 125-129 5 p. 9043800. (International Conference on Robotics and Automation Engineering, ICRAE ; vol. 4).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Accuracy Improvement by Artificial Neural Networks in Technical Vision System
Trujillo-Hernández, G., Rodríguez-Quiñonez, J. C., Ramírez-Hernández, L. R., Castro-Toscano, M. J., Hernández-Balbuena, D., Flores-Fuentes, W., Sergiyenko, O., Lindner, L. & Mercorelli, P., 10.2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5572-5577 6 p. 8927596. (IECON Proceedings (Industrial Electronics Conference); vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Image compression based on periodic principal components
Hernandez, W., Mendez, A., Quezada-Sarmiento, P. A., Jumbo-Flores, L. A., Mercorelli, P., Tyrsa, V., Acosta-Vargas, P., Camejo, I. M., Muñoz Cagua, J. R. & Cevallos Cevallos, W. B., 01.10.2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5634-5641 8 p. 8926747. (IECON Proceedings (Industrial Electronics Conference); vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Experimental analysis of measurement process for a QCM using the pulse coincidence method
Murrieta-Rico, F. N., Petranovskii, V., Sergiyenko, O., Mercorelli, P., Antúnez-Garcia, J., Sanchez-Lopez, J. D. D. & Yocupicio-Gaxiola, R. I., 10.2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 4657-4662 6 p. 8927337. (IECON Proceedings (Industrial Electronics Conference); vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure
Sotnikov, O., Kartashov, V. G., Tymochko, O., Sergiyenko, O., Tyrsa, V., Mercorelli, P. & Flores-Fuentes, W., 06.2020, Machine Vision and Navigation. Sergiyenko, O., Flores-Fuentes, W. & Mercorelli, P. (eds.). Cham: Springer International Publishing, p. 537-577 41 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Machine Vision and Navigation
Sergiyenko, O. (Editor), Flores-Fuentes, W. (Editor) & Mercorelli, P. (Editor), 30.09.2019, Cham: Springer International Publishing. 851 p.Research output: Books and anthologies › Book
- Published
Stability analysis of a linear model predictive control and its application in a water recovery process
Mercorelli, P., 01.01.2019, In: Advances in Science, Technology and Engineering Systems. 4, 5, p. 314-320 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
Heger, J. & Zein El Abdine, M., 01.09.2019, In: IFAC-PapersOnLine. 52, 13, p. 851-856 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches
Meier, N., Georgiadis, A., Ambrożkiewicz, B. & Litak, G., 11.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956597. (Proceedings of IEEE Sensors; vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review