Formulation of reliability-related objective functions for design of intelligent mechatronic systems (bibtex)
by , ,
Abstract:
State-of-the-art mechatronic systems offer inherent intelligence that enables them to autonomously adapt their behavior to current environmental conditions and to their own system state. This autonomous behavior adaptation is made possible by software in combination with complex sensor and actuator systems and by sophisticated information processing, all of which make these systems increasingly complex. This increasing complexity makes the design process a challenging task and brings new complex possibilities for operation and maintenance. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability, which in turn increases reliability. The development of such an adaption strategy requires appropriate methods to evaluate reliability based on currently selected system behavior. A common approach to implement such adaptivity is to base system behavior on different working points that are obtained using multiobjective optimization. During operation, selection among these allows a changed operating strategy. To allow for multiobjective optimization, an accurate system model including system reliability is required. This model is repeatedly evaluated by the optimization algorithm. At present, modeling of system reliability and synchronization of the models of behavior and reliability is a laborious manual task and thus very error-prone. Since system behavior is crucial for system reliability, an integrated model is introduced that integrates system behavior and system reliability. The proposed approach is used to formulate reliability-related objective functions for a clutch test rig that are used to compute feasible working points using multiobjective optimization.
Reference:
Kaul, T.; Meyer, T.; Sextro, W.: Formulation of reliability-related objective functions for design of intelligent mechatronic systems. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, volume 231, 2017.
Bibtex Entry:
@article{Kaul2017,
	howpublished = {Journal},
	title = {Formulation of reliability-related objective functions for design of intelligent mechatronic systems},
	volume = {231},
	issn = {1748-006X, 1748-0078},
	url = {http://journals.sagepub.com/doi/10.1177/1748006X17709376},
	doi = {10.1177/1748006X17709376},
	language = {en},
	abstract = {State-of-the-art mechatronic systems offer inherent 
		intelligence that enables them to autonomously adapt their behavior 
		to current environmental conditions and to their own system state. 
		This autonomous behavior adaptation is made possible by software in 
		combination with complex sensor and actuator systems and by 
		sophisticated information processing, all of which make these systems 
		increasingly complex. This increasing complexity makes the design 
		process a challenging task and brings new complex possibilities for 
		operation and maintenance. However, with the risk of increased system 
		complexity also comes the chance to adapt system behavior based on 
		current reliability, which in turn increases reliability. The 
		development of such an adaption strategy requires appropriate methods 
		to evaluate reliability based on currently selected system behavior. 
		A common approach to implement such adaptivity is to base system 
		behavior on different working points that are obtained using 
		multiobjective optimization. During operation, selection among these 
		allows a changed operating strategy. To allow for multiobjective 
		optimization, an accurate system model including system reliability 
		is required. This model is repeatedly evaluated by the optimization 
		algorithm. At present, modeling of system reliability and 
		synchronization of the models of behavior and reliability is a 
		laborious manual task and thus very error-prone. Since system behavior 
		is crucial for system reliability, an integrated model is introduced 
		that integrates system behavior and system reliability. The proposed 
		approach is used to formulate reliability-related objective functions 
		for a clutch test rig that are used to compute feasible working 
		points using multiobjective optimization.},
	number = {4},
	journal = {Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability},
	author = {Kaul, Thorben and Meyer, Tobias and Sextro, Walter},
	month = aug,
	year = {2017},
	pages = {390--399}
}
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