Now showing items 1-2 of 2

  • A copula-based sampling method for data-driven prognostics 

    Xi, Zhimin; Jing, Rong; Wang, Pingfeng; Hu, Chao (Elsevier B.V., 2014-12)
    This paper develops a Copula-based sampling method for data-driven prognostics. The method essentially consists of an offline training process and an online prediction process: (i) the offline training process builds a ...
  • Ensemble of data-driven prognostic algorithms for robust prediction of Remaining Useful Life 

    Hu, Chao; Youn, Byeng D.; Wang, Pingfeng; Yoon, Joung Taek (Elsevier, 2012-03)
    Prognostics aims at determining whether a failure of an engineered system (e.g., a nuclear power plant) is impending and estimating the remaining useful life (RUL) before the failure occurs. The traditional data-driven ...