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)

1
  • A solution for the problem of heteroscedasticity in nonlinear cointegration
2
  • An experimental study on the effect of temperature on acoustic emission characteristics in metallic structures
3
  • Analysis of cyclostationary signals using cointegration: a simulation study
4
  • Cointegration and wavelet analysis based approach for Lamb wave based structural damage detection
5
  • Cointegration modelling for health and condition monitoring of wind turbines - an overview
6
  • Compensation for the effect of vibration amplitude in nonlinear acoustic technique used for impact damage detection in composites
7
  • Condition monitoring and fault diagnosis of wind turbines using cointegration analysis of SCADA data
8
  • Damage detection in composite materials using hyperspectral imaging
9
  • Damage detection in composite sandwich panels using nonlinear acoustics and cointegration-based signal processing
10
  • Detection of moisture-related damage in GFRP composites using hyperspectral imaging
11
  • Impact damage detection in composite sandwich panels using nonlinear acoustics and cointegration
12
  • Impact damage detection in composites using nonlinear vibro-acoustic wave modulations and cointegration analysis
13
  • Lamb wave based structural damage detection – a cointegration approach for temperature effect compensation
14
  • Operational condition monitoring of wind turbines using cointegration method
15
  • Operational condition monitoring to wind turbines using cointegration method
16
  • Stationarity-based approach for lag length selection in cointegration analysis of lamb wave data
17
  • Structural damage detection using non-classical vibro-acoustic approaches