@inproceedings{13460,
  abstract     = {{Remaining useful lifetime (RUL) predictions as part of a condition monitoring system are focused in more and more research and industrial applications. To establish an efficient and precise estimate of the RUL of a technical product, different  uncertainties  have  to  be  handled.  To  minimize  the  uncertainties  of  the  RUL  estimation,  a  reliable and accurate prognostic approach as well as a good failure threshold are important. Regarding the failure threshold, most often  an  expert  sets  a  fixed  failure  threshold.  However,  neither  the  a  priori  known  failure  threshold  nor  a  fixedthreshold value are feasible in every application. Especially in the case of varying characteristics of the monitored system, an adaptive failure threshold is of great importance concerning the accuracy of the RUL estimation.  Rubber-metal-elements, which are used in a wide range of applications for vibration and sound isolation, are mon-itored by thermocouples to allow for lifetime predictions. Therefore, the element’s state is described by its temper-ature during its service life. Aiming to establish accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear material characteristics and changing operational conditions have to be considered. Consequently, different temperature-based failure threshold definitions are implemented and compared within a particle filtering approach. }},
  author       = {{Bender, Amelie and Schinke, Lennart and Sextro, Walter}},
  booktitle    = {{Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)}},
  editor       = {{Beer, Michael and Zio, Enrico}},
  isbn         = {{978-981-11-2724-3}},
  keywords     = {{RUL prediction, adaptive threshold, prognostics, condition monitoring}},
  location     = {{Hannover}},
  number       = {{29}},
  pages        = {{1262--1269}},
  title        = {{{Remaining useful lifetime prediction based on adaptive failure thresholds}}},
  year         = {{2019}},
}

@inproceedings{17653,
  author       = {{Polevoy, Gleb and de Weerdt, M.M.}},
  booktitle    = {{Proceedings of the 29th Benelux Conference on Artificial Intelligence}},
  keywords     = {{interaction, reciprocation, contribute, shared effort, curbing, convergence, threshold, Nash equilibrium, social welfare, efficiency, price of anarchy, price of stability}},
  publisher    = {{Springer}},
  title        = {{{Reciprocation Effort Games}}},
  year         = {{2017}},
}

@inproceedings{17654,
  author       = {{Polevoy, Gleb and de Weerdt, M.M.}},
  booktitle    = {{Proceedings of the 29th Benelux Conference on Artificial Intelligence}},
  keywords     = {{agents, projects, contribute, shared effort game, competition, quota, threshold, Nash equilibrium, social welfare, efficiency, price of anarchy, price of stability}},
  publisher    = {{Springer}},
  title        = {{{Competition between Cooperative Projects}}},
  year         = {{2017}},
}