Wykaz publikacji wybranego autora

Tomasz Barszcz, prof. dr hab. inż.

profesor zwyczajny

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: 0000-0002-1656-4930 orcid iD

ResearcherID: HHS-2538-2022

Scopus: 25521161400

PBN: 5e709208878c28a04738eece

OPI Nauka Polska

System Informacyjny AGH (SkOs)




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  • Advanced testing of heavy duty gearboxes in non-stationary operational conditions
3
  • ART-2 artificial neural networks applications for classification of vibration signals and opera-tional states of wind turbines for intelligent monitoring
4
  • ART-2 artificial neural networks applications for classification of vibration signals and operational states of wind turbines for intelligent monitoring
5
  • Bearings fault detection in gas compressor in presence of high level of non-Gaussian impulsive noise
6
  • Frequency spectra-based vibration velocity RMS calculation algorithm dedicated to online monitoring systems
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  • Innovative products and services as results of bridging science and industry
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  • Joint power-speed representation of vibration features
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10
  • New generation of condition monitoring systems for non-stationary machinery – proposal of the architecture
11
  • Non-classical approach to structural damage detection
12
  • Non-clustering method for automatic selection of machine operational states
13
  • Novel intuitive hierarchical structure for condition monitoring system of wind turbines
14
  • Optimization techniques applied in a tuning process of a feedwater heater's first-principle data-driven model
15
  • Physics-based data-driven models applied to diagnostic assessment of power units
16
  • Programmable logic devices as a tool in structure's damage detection applications
17
  • Three-dimensional representation of diagnostic features in application to wind turbines
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  • Validation of vibration measurements for heavy duty machinery diagnostics
20
  • Vibration signals processing by cellular automata for wind turbines intelligent monitoring
21
  • Wykorzystanie mobilnego skaningu laserowego do pomiarów skrajni linii kolejowej i kodyfikacji linii kolejowych