Wykaz publikacji wybranego autora

Jacek Urbanek, mgr inż.

doktorant

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


Identyfikatory Autora

ORCID: brak

ResearcherID: brak

Scopus: brak




1
  • A novel transformation of non-stationary signals to periodic signals
2
  • A novel transformation of non-stationary signals to periodic signals
3
  • Application of angular-temporal spectrum for detection of rolling-element bearing faults operating under varying speed regime
4
  • Application of instantaneous power spectrum for diagnostics of machinery operating under non-stationary load condition
5
  • Blind estimation of instantaneous rotational speed
6
  • Blind separation of vibration components for rotor machinery operating under highly non-stationary regime
7
  • Comparison of advanced fault detection methods for rolling bearings fault in wind turbines
8
  • Comparison of amplitude based and phase based methods for speed tracking in application to wind turbines
9
  • Condition monitoring of a turboset by measurement of its torsional vibration
10
  • Estimation of stator windings modal parameters in power generation turboset
11
  • Integrated modulation intensity distribution as a practical tool for condition monitoring
12
  • Integrated modulation intensity distribution as a practical tool for condition monitoring
13
  • Joint power-speed representation of vibration features
14
  • Joint power-speed representation of vibration features
15
  • Measurement of instantaneous shaft speed by advanced vibration signal processing – application to wind turbine gearbox
16
  • Modeling of rotating machine vibration signals operating under highly varying speed and load
17
  • Reconstruction of rotational speed from vibration signal – comparison of methods
18
  • Rotational speed tracking methods in marine engines
19
  • Selection of efficient monitoring methods for machinery generating high vibration signal disturbance
20
  • Statistical data processing for wind turbine generator bearing diagnostics
21
  • Three-dimensional representation of diagnostic features in application to wind turbines