Optimization-based reliability control of mechatronic systems (bibtex)
by Tobias Meyer
Abstract:
Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance.
Reference:
Meyer, T.: Optimization-based reliability control of mechatronic systems. Dissertation, Elektronische Ressource, Univärsitätsbibliothek Paderborn, Herausgeber: Prof.Dr.-Ing.habil Walter Sextro Paderborn, Universität Paderborn, 2016.
Bibtex Entry:
@PHDTHESIS{Meyer2016b,
  author = {Meyer, Tobias},
  title = {Optimization-based reliability control of mechatronic systems},
  school = {Universit{\"a}t Paderborn},
  year = {2016},
  type = {Dissertation, Elektronische Ressource, Univärsitätsbibliothek Paderborn,
	Herausgeber: Prof.Dr.-Ing.habil Walter Sextro Paderborn},
  abstract = {Reliability-adaptive systems allow an adaptation of system behavior
	based on current system reliability. They can extend their lifetime
	at the cost of lowered performance or vice versa. This can be used
	to adapt failure behavior according to a maintenance plan, thus increasing
	availability while using up system capability fully. To facilitate
	setup, a control algorithm independent of a degradation model is
	desired. A closed loop control technique for reliability based on
	a health index, a measure for system degradation, is introduced.
	It uses self-optimization as means to implement behavior adaptation.
	This is based on selecting the priorities of objectives that the
	system pursues. Possible working points are computed beforehand using
	model-based multiobjective optimization techniques. The controller
	selects the priorities of objectives and this way balances reliability
	and performance. As exemplary application, an automatically actuated
	single plate dry clutch is introduced. The entire reliability control
	is setup and lifetime experiments are conducted. Results show that
	the variance of time to failure is reduced greatly, making the failure
	behavior more predictable. At the same time, the desired usable lifetime
	can be extended at the cost of system performance to allow for changed
	maintenance intervals. Together, these possibilities allow for greater
	system usage and better planning of maintenance.},
  doi = {10.17619/UNIPB/1-3},
  keywords = {mechatronic systems},
  owner = {ekubi},
  timestamp = {2018.02.05},
  url = {https://doi.org/10.17619/UNIPB/1-3}
}