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  1. sciencedirect.com

    By combining a novel online feature fusion and selection scheme with multiple prognostic models considering measurement bias, this work has proposed a new particle filter-based damage prognosis framework, where, at each step, the feature with the smallest estimated bias is taken as the best feature providing the best estimates at that step.
  2. researchgate.net

    In this context, this paper proposes a particle filter-based damage prognosis framework, which involves an online feature fusion and selection scheme. A prognostic model is considered for each ...
  3. semanticscholar.org

    DOI: 10.1016/j.ymssp.2023.110713 Corpus ID: 261549790; Particle filter-based damage prognosis using online feature fusion and selection @article{Li2023ParticleFD, title={Particle filter-based damage prognosis using online feature fusion and selection}, author={Tian-mei Li and Jian Chen and Shenfang Yuan and Francesco Cadini and Claudio Sbarufatti}, journal={Mechanical Systems and Signal ...
  4. sciencedirect.com

    To enhance the prognostic accuracy, ... Particle filter-based damage prognosis using online feature fusion and selection. Mechanical Systems and Signal Processing, 203 (2023), Article 110713. View PDF View article View in Scopus Google Scholar [12] X. Zhou, S.
  5. research.tudelft.nl

    prognostic performance highly depends on the selection of such a model. The best model should probably be case spe-cific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper proposes a scheme of online fusing multiple models in a particle filter (PF)-based damage prognosis framework.
  6. ui.adsabs.harvard.edu

    In this context, this paper proposes a particle filter-based damage prognosis framework, which involves an online feature fusion and selection scheme. A prognostic model is considered for each feature, with a multivariate process equation, formulated using both a damage degradation function and a bias parameter, and a measurement equation ...
  7. journals.sagepub.com

    In this context, this paper proposes a scheme of online fusing multiple models in a particle filter (PF)-based damage prognosis framework. First, each prognostic model has its process equation built through a physics-based or data-driven degradation model and has its measurement equation linking the damage state and the measurement.
  8. sciencedirect.com

    Fatigue damage prognosis studies typically involve updating a degradation model based on the collected measurements. The updated model can accurately depict the past degradation process, while it is always assumed to be capable of describing the future damage progression, and thus can be used for remaining useful life (RUL) prediction.However, this assumption cannot always hold true, due to ...
  9. researchgate.net

    Download scientific diagram | Novel particle filter (PF)-based damage prognosis framework with embedded feature fusion and selection. from publication: Particle filter-based damage prognosis using ...
  10. semanticscholar.org

    Fatigue damage prognosis always requires a degradation model describing the damage evolution with time; thus, the prognostic performance highly depends on the selection of such a model. The best model should probably be case specific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper proposes a scheme of online fusing multiple models in a ...

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