Projects
In progress.. |
Finished projects |
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LineMod - Diagnosemodelle für verkettete Abfüll- und Verpackungslinien in der Lebensmittelindustrie TOP
[2007- ?]Technische und organisatorische Schwachstellen führen dazu, dass Abfüll- und Verpackungsanlagen heute nur mit Verfügbarkeiten von 50-75 %
betrieben werden. Um Stillstandszeiten zu minimieren und dadurch die Effizienz zu steigern, müssen die Hauptstillstandsverursacher
(Maschinen, Fördermittel und Peripherieschnittstellen) möglichst rasch identifiziert werden. Die Wechselwirkungen der Aggregate innerhalb
der veketteten Linien machen dies schwierig. Aufgrund der Entkopplung der Maschinen durch die zwischengeschalteten Gebindepufferstrecken führt nicht jeder
Fehler an einer Maschine zwangsläufig zu einem Stillstand des Zentralaggregats. Auf der anderen Seite können sich Maschinenstillstände
verschleppen und sich erst zeitversetzt (auch lange nach der Fehlerbehebung) auswirken. Auf der Grundlage automatischer Betriebsdatenerfassung (BDE) kann
eine statistische Auswertung von Maschinenstillstandszeiten erfolgen. Diese scheitert jedoch häufig an uneinheitlich definierten Zuständen bei Maschinen
verschiedenen Fabrikats und ist aufgrund der Wechselwirkungen entlang der Linie nicht ausreichend. Es werden deshalb, zusätzlich zu einer standardisierten
Datenbasis, Modelle benötigt, die die zeitlichen Abhängigkeiten innerhalb von Abfüll- und Verpackungsanlagen berücksichtigen und auf deren Grundlage
Lösungen für eine unterstützte, weitgehend automatiierte Fehlerlokalisierung entwickelt werden können. Für die Lebensmittelindustrie existieren diese
bisher nicht. Das Ziel des Projekts LineMod ist der Aufbau einer Bibliothek von Diagnosemodellen, mit welchen Betriebsdaten in Kombination mit der jeweiligen
Anlagenstruktur auf verfügbarkeitsmindernde Störungen hin untersucht werden können. Hierbei sollen sowohl das stillstandsverursachende Aggregat im Rahmen
einer horizontalen Diagnose innerhalb der Anlage identifiziert als auch die Ursache innerhalb dieses Aggregats im Rahmen einer vertikalen Diagnose
diagnostiziert werden. Den zeitlichen Abhängigkeiten, die bei der Datenauswertung bisher vernachlässigt wurden, kommt eine besondere Bedeutung zu.
IniTum - Fault Model-Based Test Generation from Text-Based Specifications TOP
[2005- Sept. 2008]See this page for a detailed description.
MONET TOP
MONET is a Network of Industrialists, Academics and Researchers
with a common long-term technological development objective in Model Based
Systems & Qualitative Reasoning (MBS & QR). The MONET European
Network of Excellence is aimed at providing a long-term framework for research
co-operation and integration that will assist in the coordination of European
research in model-based systems and qualitative reasoning through technology
transfer into industry. The Network is co-ordinated by the Centre for Intelligent
Systems within the Department of Computer Science, University Wales, Aberystwyth,
UK. The second phase of this network has started in January 2002.
AUTAS - Automating FMECA for aircraft systems TOP
[2002-2005]Failure modes and effects criticality analysis (FMECA) is concerned
with the assessment of effects of potential faults in a designed artifact,
their criticality, detect ability and possible remedies.
The top-level objective of the project is the improvement of the reliability
analysis process through the development of a software environment that
will enable specialists doing reliability analysis, to perform their job
in a reduced time span, and to improve the quality of their output. Today
the available support mainly concerns the possibility of storing and organizing
data about the failure states of each component, while for the reliability
analysis itself poor or no support at all is provided.
IDD - Integrated Diagnosis and Design for on-board Diagnosis TOP
[2000-2003]The importance of diagnosis in on-board automotive systems is constantly
growing together with the complexity of the systems. The average dimension
of the diagnostic code inside a modern electronic control unit (ECU) is
now more than 50% of the whole code. The diagnostic code has the important
role of detecting deviations of the system from the correct (or the optimal)
behavior and identifying all possible and foreseen problems to which the
identified situation could lead.
This project aims at introducing a new approach to the problem. The
industrial goal is to formalize and standardize the diagnostic design process,
anticipating the introduction of diagnosis in the chain. This methodological
goal has to be combined with another important goal: giving to the designers
tools that can help them in evaluating and understanding the effects (and,
specifically, the effects on diagnostic procedures) of each choice on the
system being designed.
Ref. R. Brignolo & others: Integration
of Design and Diagnosis Into a Common Process In: Electronic
System for Vehicles, VDI-Berichte, Düsseldorf 2001
AGUA - Assistant for Water Quality TOP
[2000 - 2003]The project aims at building the prototype of a tool that supports operators
of water treatment plants in assessing the state and evolution of both
the plant and its natural resources (reservoirs), in identifying conflicts
with quality goals and regulations, and in determining and evaluating potential
remedial actions.
Ref. Struss, P. and Heller, U.: Model-based
Support for Water Treatment. In: Milne, R. (ed.): Qualitative and Model
Based Reasoning for Complex Systems and their Control, Workshop KRR-4 at
the 16th International Joint Conference on Artificial Intelligence, Stockholm,
1999, pp. 84-90
QUALIDADE - QUALItative Reasoning in the Domain of Automated Diagnosis and Ecology TOP
[1994-1999]
The project QUALIDADE aims at developing reasoning techniques and implementing tools for ecological and environmental management support.
The application domain is the support of hydro-ecological resource management as carried out by the municipal department of water and sewage (DMAE) in Porto Alegre.
The ecosystem of Rio Guaiba, the water supply of the city, is endangered by repeated occurrences of local algal blooms. The research department of DMAE aims at understanding,
predicting and preventing these occurrences.
These tasks will be supported by a model-based approach, which forms the foundation for a coherent framework for model building, situation assessment, monitoring, simulation,
diagnosis and therapy planning.
VMBD - Vehicle Model Based Diagnosis TOP
[1997-1999]The objective of the project is the development of an integrated environment
(tool kit) that will allow car manufacturers and component suppliers to
rapidly develop powerful on-board and off-board diagnostic systems able
to reach the goal of 50% reduction of down times with 5 years advance.
This will give a competitive edge to European Automotive Industry, leading
at the same time toward the development of European regulations in the
field of vehicle diagnostics.
Ref. M. Sachenbacher, P. Struss, C. Carlén: A
Prototype for Model-based On-board Diagnosis of Automotive Systems
In: AI Communications, Vol 13(2), 2000
INDIA - Intelligent Diagnosis in Industrial Applications
[1996-1999]INDIA aims at a substantial contribution to the industrial application
of knowledge-based - in particular: model-based-diagnosis of technical
devices. To this end it wants to improve the possibilities to tailor a
diagnostic system to the demands of a certain application (e. g. with respect
to safety, ecology, variety, integration into development and runtime environment).
It approaches these aims from two sides. On the one hand it transfers
results of research into industrial applications. On the other hand it
analyses the problems of this process and use them to drive further research.
Hence, the consortium consists of research institutes, vendors of diagnostic
systems and users of such systems.
Ref. Lothar Hotz, Peter Struss, Thomas Guckenbiehl (Hrsg.),
Intelligent
Diagnosis in Industrial Applications, Shaker 2000
last updated: Dominik Goby, January 29th, 2007
