All Stories

  1. Experimental validation of a deep neural network-Sparse representation classification ensemble method
  2. A Bayesian updating procedure for the electromechanical properties of piezoelectric energy harvesters
  3. Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings
  4. Numerical and experimental results for the frequency response of plates in similitude
  5. An inverse parallel genetic algorithm for the identification of skin/core debonding in honeycomb aluminium panels
  6. Structural damage assessment using linear approximation with maximum entropy and transmissibility data
  7. Similitudes for flexural plates
  8. A Maximum Entropy Approach to Assess Debonding in Honeycomb aluminum Plates
  9. Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies
  10. Model updating using antiresonant frequencies identified from transmissibility functions
  11. Structural damage assessment under varying temperature conditions
  12. An hybrid real genetic algorithm to detect structural damage using modal properties
  13. Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms
  14. Damage Detection with Parallel Genetic Algorithms and Operational Modes
  15. Identification of nonlinear dynamic coefficients in plain journal bearings
  16. On the effect of downtime costs and budget constraint on preventive and replacement policies
  17. A Maximum Entropy Supervised Learning Algorithm for the Identification of Skin/Core Debonding in Honeycomb Aluminium Panels