---
res:
  bibo_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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Tobias
      foaf_name: Meyer, Tobias
      foaf_surname: Meyer
  dct_date: 2018^xs_gYear
  dct_language: eng
  dct_publisher: Shaker@
  dct_subject:
  - dependability
  - reliability
  - behavior adaptation
  - self-optimization
  - multiobjective optimization
  - optimal control
  - automotive drivetrain
  - clutch system
  - reliability-adaptive system
  dct_title: Optimization-based reliability control of mechatronic systems@
...