Professorship for Process Measurement Technology and Intelligent Systems
Organisational unit: Section
Topics
Die Professur für Prozessmesstechnik/Intelligente Systeme beschäftigt sich mit Automatisierungstechnologien, Methoden und Systeme zur Erhöhung der Lebensqualität (Lebensmittel, Atemluft, Medizin) und der Sicherheit (Automobil, Feuerschutz), Messmethoden und Techniken, Sensoren (auch auf Basis von Nanofaser), Multisensorsysteme und entsprechende Mikrosysteme, davon intelligente Anwendungen in der Produktion (Innovative Bearbeitungsmethoden), Prozessüberwachung zur fehlerfreien Produktion ("zero defect manufacturing") sowie Röntgennachweissysteme zur Grundlagenforschung in QED.
- 2016
- Published
Combining Kalman filter and RLS-Algorithm to Improve a Textile based Sensor System in the Presence of Linear Time-Varying Parameters
Schimmack, M., Mercorelli, P. & Maiwald, M., 15.04.2016, 17th International Conference on E-health Networking, Application & Services (HealthCom). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 507-510 4 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Schimmack, M. & Mercorelli, P., 01.03.2016, In: International Journal of Electronics and Telecommunications. 62, 1, p. 15-21 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Automatic Assembling of Bearings Including Clearance Measurement
Meier, N. & Georgiadis, A., 19.02.2016, Procedia CIRP: 48th CIRP International Conference on Manufacturing Systems, CIRP CMS 2015. Teti, R. (ed.). Elsevier Scientific Publishing, Vol. 41. p. 242-246 5 p. (Procedia CIRP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm.
Zhigen, F., Xiaojie, X., Yanqiu, X., Meier, N. & Georgiadis, A., 02.2016, In: Measurement Science and Technology. 27, 2, 13 p., 025903.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Short-arc measurement and fitting based on the bidirectional prediction of observed data
Fei, Z., Xu, X. & Georgiadis, A., 05.01.2016, In: Measurement Science and Technology. 27, 2, 19 p., 025013.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Distributable Modular Software Framework for Manufacturing Systems
Papadoudis, J. & Georgiadis, A., 01.01.2016, Procedia CIRP: Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems. Elsevier Scientific Publishing, Vol. 41. p. 712-716 5 p. (Procedia CIRP; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Anatomy of Discrete Kalman Filter and Its Implementation for Sensorless Velocity Estimation of Organic Actuator
Schimmack, M. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 6, p. 110-114 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
Schimmack, M., Nguyen, S. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 6, p. 99-104 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
An Extended Kalman Filter as an Observer in a Sliding Mode Controller for a Metal-Polymer Composite Actuator
Schimmack, M. & Mercorelli, P., 2016, Proceedings of the 2nd International Afro-European Conference for Industrial Advancement, AECIA 2015. Abraham, A., Wegrzyn-Wolska, K., Hassanien, A. E., Snasel, V. & Alimi, A. M. (eds.). Springer International Publishing AG, p. 305-314 10 p. (Advances in Intelligent Systems and Computing; vol. 427, no. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
A Sliding Mode Control with a Bang-Bang Observer for Detection of Particle Pollution
Schimmack, M. & Mercorelli, P., 2016, Variable-Structure Approaches: Analysis, Simulation, Robust Control and Estimation of Uncertain Dynamic Processes. Rauh, A. & Senkel, L. (eds.). Cham: Springer, p. 125-153 29 p. (Mathematical Engineering).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review