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, Schriften des Lehrstuhls für Dynamik und Mechatronik, Herausgeber: Prof. Dr.-Ing. habil. Walter Sextro, Paderborn, Universität Paderbor, 2018.
Bibtex Entry:
@PHDTHESIS{Meyer2018,
author = {Tobias Meyer},
title = {Optimization-based reliability control of mechatronic systems},
school = {Universität Paderbor},
year = {2018},
type = {Dissertation, Schriften des Lehrstuhls für Dynamik und Mechatronik,
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.},
keywords = {dependability; reliability; behavior adaptation; self-optimization;
multiobjective optimization; optimal control; automotive drivetrain;
clutch system; reliability-adaptive system},
owner = {ekubi},
timestamp = {2019.03.25},
url = {https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-5874-1&search=yes}
}