Wykaz publikacji wybranego autora

Phong Ba Dao, 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: 0000-0002-9211-5619 orcid iD

ResearcherID: C-4550-2017

Scopus: 55756601800

PBN: 602b82969543c7410626ddec

System Informacyjny AGH (SkOs)

Liczba pozycji spełniających powyższe kryteria selekcji: 44, z ogólnej liczby 44 publikacji Autora

1
  • A CUSUM-based approach for condition monitoring and fault diagnosis of wind turbines
2
  • A method and a system for structural health monitoring
3
  • A method and a system for structural health monitoring
4
  • A solution for the problem of heteroscedasticity in nonlinear cointegration
5
  • An experimental study on the effect of temperature on acoustic emission characteristics in metallic structures
6
  • Analysis of cyclostationary signals using cointegration: a simulation study
7
8
  • Cointegration and multiresolution discrete wavelet analysis for Lamb wave based damage detection under varying temperature conditions
9
  • Cointegration and wavelet analysis based approach for Lamb wave based structural damage detection
10
  • Cointegration approach for temperature effect compensation in Lamb-wave-based damage detection
11
  • Cointegration method for temperature effect removal in damage detection based on Lamb waves
12
  • Cointegration modelling for health and condition monitoring of wind turbines - an overview
13
  • Cointegration-based approach for structural health monitoring: theory and applications
14
  • Compensation for the effect of vibration amplitude in nonlinear acoustic technique used for impact damage detection in composites
15
  • Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
16
17
  • Condition monitoring and fault diagnosis of wind turbines using cointegration analysis of SCADA data
18
  • Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
19
  • Damage detection in composite materials using hyperspectral imaging
20
  • Damage detection in composite sandwich panels using nonlinear acoustics and cointegration-based signal processing
21
  • Damage detection using cointegration technique and wavelet analysis of the post-cointegrated Lamb waves
22
  • Data normalisation for Lamb wave-based damage detection using cointegration: a case study with single- and multiple-temperature trends
23
  • Detection of moisture-related damage in GFRP composites using hyperspectral imaging
24
  • Impact damage detection in composite sandwich panels using nonlinear acoustics and cointegration
25
  • Impact damage detection in composites using nonlinear vibro-acoustic wave modulations and cointegration analysis