Refine
Year of publication
- 2017 (154) (remove)
Document Type
- Article (72)
- Conference Proceeding (66)
- Part of a Book (12)
- Other (2)
- Book (1)
- Patent (1)
Language
- English (154) (remove)
Keywords
- MASCOT (2)
- 3D nonlinear finite element model (1)
- Acceptance tests (1)
- Automated Optimization (1)
- Autonomous mobile robots (1)
- Biomolecular logic gate (1)
- CNOT (1)
- Capacitive field-effect (1)
- Chemical images (1)
- Chemical sensor (1)
- Chimeric liver-humanized mice (1)
- Competence Developing Games (1)
- DNA (1)
- Dehydrogenase (1)
- Diaphorase (1)
- Diversity (1)
- Diversity Management (1)
- Drug distribution (1)
- Drug metabolism (1)
- Dry-low-NOx (DLN) combustion (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (61)
- IfB - Institut für Bioengineering (32)
- INB - Institut für Nano- und Biotechnologien (26)
- Fachbereich Elektrotechnik und Informationstechnik (25)
- Fachbereich Luft- und Raumfahrttechnik (22)
- Fachbereich Energietechnik (14)
- Fachbereich Chemie und Biotechnologie (12)
- Fachbereich Maschinenbau und Mechatronik (10)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (10)
- Fachbereich Bauingenieurwesen (7)
- Solar-Institut Jülich (5)
- Institut fuer Angewandte Polymerchemie (4)
- ECSM European Center for Sustainable Mobility (3)
- Fachbereich Wirtschaftswissenschaften (2)
- Fachbereich Architektur (1)
- Kommission für Forschung und Entwicklung (1)
- Nowum-Energy (1)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (1)
Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.
Modulation of muscle-tendon interaction in the human triceps surae during an energy dissipation task
(2017)
This paper introduces a hardware setup to measure efficiency maps of low-power electric motors and their associated inverters. Here, the power of the device under test (DUT) ranges from some Watts to a few hundred Watts. The torque and speed of the DUT are measured independent of voltage and current in multiple load points. A Matlab-based software approach in combination with an open Texas-Instruments (TI) hardware setup ensures flexibility. Exemplarily, the efficiency field of a Permanent Magnet Synchronous Machine (PMSM) is measured to proof the concept. Brushless-DC (BLDC) motors can be tested as well. The nomenclature in this paper is based on the new European standard DIN EN 50598. Special attention is paid to the calculation of the measurement error.