Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules

New mechatronic systems, called self-optimizing systems, are able to adapt their behavior according to environmental, user and system specific influences. Self-optimizing systems are complex and due to their non-deterministic behavior comprise hidden risks, which cannot be foreseen in the design pha...

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Bibliographic Details
Published in2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns pp. 15 - 20
Main Authors Sondermann-Wolke, C., Sextro, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
active guidance
Actuators
Condition monitoring
Control systems
dependability
Information processing
Mechatronics
Navigation
Rail transportation
railway application
self-optimization
Sensor systems
Vehicle dynamics
Vehicles
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Summary:New mechatronic systems, called self-optimizing systems, are able to adapt their behavior according to environmental, user and system specific influences. Self-optimizing systems are complex and due to their non-deterministic behavior comprise hidden risks, which cannot be foreseen in the design phase of the system. Therefore, this paper presents modifications of the current condition monitoring policy, to be able to cope with this new kind of systems. Beside avoiding critical situations evoked by self-optimization, the proposed concept uses self-optimization to increase the dependability of the system. In this case, the concept is applied to the active guidance module of an innovative rail-bound vehicle.
ISBN:9781424451661
1424451663
DOI:10.1109/ComputationWorld.2009.47