@INPROCEEDINGS{Sondermann-Woelke2009a,
  author = {Sondermann-W{\"o}lke, Christoph and Sextro, Walter},
  title = {Towards the Integration of Condition Monitoring in Self-Optimizing
	Function Modules},
  booktitle = {Future Computing, Service Computation, Cognitive, Adaptive, Content,
	Patterns, 2009. COMPUTATIONWORLD '09. Computation World:},
  year = {2009},
  pages = {15 -20},
  month = nov.,
  abstract = {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.},
  bdsk-url-1 = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5359547},
  bdsk-url-2 = {http://dx.doi.org/10.1109/ComputationWorld.2009.47},
  doi = {10.1109/ComputationWorld.2009.47},
  file = {Sondermann-Woelke2009a.pdf:Sondermann-Woelke2009a.pdf:PDF},
  keywords = {condition monitoring;mechatronic systems;rail bound vehicle;rail guidance
	module;self-optimization;self-optimizing function modules;condition
	monitoring;mechatronics;railway rolling stock;self-adjusting systems;},
  timestamp = {2013.09.18},
  url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5359547}
}