Search results for: bayesian regularization

• A Bayesian regularization-backpropagation neural network model for peeling computations

  Publication

  • S. Gouravaraju
  • J. Narayan
  • R. Sauer
  • S. S. Gautam

  - JOURNAL OF ADHESION - Year 2023

  A Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...

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• An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics

  Publication

  • S. Vettori
  • E. Di Lorenzo
  • B. Peeters
  • M. Łuczak
  • E. Chatzi

  - MECHANICAL SYSTEMS AND SIGNAL PROCESSING - Year 2023

  The establishment of a Digital Twin of an operating engineered system can increase the potency of Structural Health Monitoring (SHM) tools, which are then bestowed with enhanced predictive capabilities. This is particularly relevant for wind energy infrastructures, where the definition of remaining useful life is a main driver for assessing the efficacy of these systems. In order to ensure a proper representation of the physical...

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