Refine
Year of publication
- 2020 (218) (remove)
Document Type
- Article (119)
- Conference Proceeding (55)
- Part of a Book (16)
- Book (9)
- Review (7)
- Doctoral Thesis (3)
- Other (3)
- Patent (3)
- Contribution to a Periodical (1)
- Poster (1)
- Report (1)
Language
- English (154)
- German (62)
- Multiple languages (1)
- nld (1)
Has Fulltext
- no (218) (remove)
Keywords
- MINLP (3)
- Additive manufacturing (2)
- Adjacent buildings (2)
- Experimental validation (2)
- Historical centres (2)
- INODIS (2)
- Shake table test (2)
- Stone masonry (2)
- 3D printing (1)
- Acceptance (1)
- Adaptive control (1)
- Anwendungsorientierter Forschungsansatz (1)
- Blind prediction competition (1)
- Brownian Pillow (1)
- Bumblebees (1)
- Capacity Building Higher Education (1)
- Capacity Curve (1)
- Case study (1)
- Change culture (1)
- Choleratoxin B (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (52)
- Fachbereich Energietechnik (34)
- IfB - Institut für Bioengineering (32)
- Fachbereich Wirtschaftswissenschaften (30)
- Fachbereich Elektrotechnik und Informationstechnik (29)
- Fachbereich Luft- und Raumfahrttechnik (29)
- ECSM European Center for Sustainable Mobility (16)
- Fachbereich Maschinenbau und Mechatronik (16)
- Fachbereich Bauingenieurwesen (14)
- Solar-Institut Jülich (13)
- Fachbereich Chemie und Biotechnologie (12)
- INB - Institut für Nano- und Biotechnologien (12)
- Institut fuer Angewandte Polymerchemie (7)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (6)
- Nowum-Energy (6)
- IBB - Institut für Baustoffe und Baukonstruktionen (3)
- IaAM - Institut für angewandte Automation und Mechatronik (3)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (1)
- Fachbereich Architektur (1)
- Kommission für Forschung und Entwicklung (1)
The development of resilient technical systems is a challenging task, as the system should adapt automatically to unknown disturbances and component failures. To evaluate different approaches for deriving resilient technical system designs, we developed a modular test rig that is based on a pumping system. On the basis of this example
system, we present metrics to quantify resilience and an algorithmic approach to improve resilience. This approach enables the pumping system to automatically react on unknown disturbances and to reduce the impact of component failures. In this case, the system is able to automatically adapt its topology by activating additional valves. This enables the system to still reach a minimum performance, even in case of failures. Furthermore, timedependent disturbances are evaluated continuously, deviations from the original state are automatically detected and anticipated in the future. This allows to reduce the impact of future disturbances and leads to a more resilient
system behaviour.