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)




1
  • A new approach to risk management in the power industry based on systems theory
2
  • A sensor fusion system with thermal infrared camera and lidar for automatic detection and localization of overheated idlers on conveyor systems
3
  • Analiza możliwości redukcji drgań maszyny wirnikowej średniej mocy
4
  • Automated identification of overheated belt conveyor idlers in thermal images with complex backgrounds using binary classification with CNN
5
  • Automatic identification of malfunctions of large turbomachinery during transient states with genetic algorithm optimization
6
  • Condition monitoring of idlers in mining conveyors based on thermal image segmentation
7
  • Design of an infrared image processing pipeline for robotic inspection of conveyor systems in opencast mining sites
8
9
  • Eksperymentalna podziemna elektrownia szczytowo pompowa UPSH
10
  • Fault detection method based on an automated operating envelope during transient states for the large turbomachinery
11
  • Modeling of synthetic REB vibration signals
12
  • Multi-channel operational envelope method for automated fault detection
13
  • Multi-variant modal analysis approach for large industrial machine
14
  • Nieliniowe metody monitorowania stanu konstrukcji
15
  • Overview of practical aspects of evaluation of spectral scalar indicators for trend analysis in condition monitoring
16
  • Proposal of multidimensional data driven decomposition method for fault identification of large turbomachinery
17
  • Robot-based damage assessment method for identification to overheated idlers in conveyor systems using histogram analysis techniques
18
  • Time domain identification of multi-stage planetary gearbox characteristic frequencies using piezoelectric strain sensor
19
  • Unsupervised learning based data-driven anomaly detection for acoustic monitoring of idlers in conveyor systems
20
  • Vulnerabilities and fruits of smart monitoring