Wykaz publikacji wybranego autora

Łukasz Ambroziński, dr hab. inż., prof. AGH

profesor nadzwyczajny

Wydział Inżynierii Mechanicznej i Robotyki
WIMiR-krm, Katedra Robotyki i Mechatroniki

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria mechaniczna

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / automatyka i robotyka

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-3311-2821 orcid iD

ResearcherID: D-9876-2015

Scopus: 41760921100

PBN: 5e709447878c28a0473b99e7

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Analysis of Lamb wave dispersion curve sensitivity to material elastic constants in composites
2
  • Analysis of lamb wave dispersion curve sensitivity to material elastic contants in composites
3
  • Application of artificial neural networks for compounding multiple damage indices in Lamb-wave-based damage detection
4
  • Damage imaging using lamb waves for SHM applications
5
  • Damage localization in plates with use of the procedure based on modal filtration
6
  • Data fusion for compensation of temperature variations in Lamb-wave based SHM systems
7
  • Data fusion for compensation of temperature variations in Lamb-wave based SHM systems
8
  • Designing of sparse 2D arrays for lamb wave imaging using coarray concept
9
  • Development of a hybrid system for identification of elastic material in composite lamina: application of Lamb waves and neural networks
10
  • Efficient tool for designing 2D phased arrays in lamb waves imaging of isotropic structures
11
  • Identification of material properties – efficient modelling approach based on guided wave propagation and spatial multiple signal classification
12
  • Numerical modelling and experimental verification of interdigital transducers for lamb wave generation
13
  • Separation of Lamb waves modes using polarization filter for the 3D wave motion signals
14
  • Separation of Lamb waves modes using polarization filter of 3D laser measured signals