Wykaz publikacji wybranego autora

Piotr Czop, 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: 0000-0002-6347-5412 orcid iD

ResearcherID: brak

Scopus: 36170362200

PBN: 5e709208878c28a04738eee1

OPI Nauka Polska

System Informacyjny AGH (SkOs)

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  • Adjustment of a feedwater heater model in bi-stationary load conditions
3
  • Advanced input-output non-parametric and parametric approach for identification of time-variant mechanical structures
4
  • Application of advanced data-driven parametric models to load reconstruction in mechanical structures and systems
5
  • Application of inverse linear parametric models in the identification of rail track irregularities
6
  • Combined non-parametric and parametric approach for identification of time-variant systems
7
  • Development and tuning of a simplified 1D model for generation of transient states in large turbomachinery
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  • Development of an optimization method for minimizing vibrations of a hydraulic damper
9
  • First-principle data-driven model in early warning diagnostics of rotating machinery malfunctions
10
  • How to build a vibration monitoring system on your own?
11
  • Modelling and system identification of a monotube shock absorber
12
  • Off-line displacement error correction method for servo-hydraulic testers
13
  • Optimization techniques applied in a tuning process of a feedwater heater's first-principle data-driven model
14
  • Particle image velocimetry technique applied to flow evaluation through a shock absorber intake valve
15
  • Presentation of a virtual power plant environment and its application with combined first-principle and data-driven models intended for the diagnostics of a power plant
16
  • Presentation of a virtual power plant environment and its application with combined first-principle and data-driven models intended for the diagnostics of a power plant
17
  • Supervised classification methods in condition monitoring of rolling element bearings
18
  • The effects of the aeration phenomenon on the performance of hydraulic shock absorbers
19
  • The use of a fuzzy logic approach for integration of vibration-based diagnostic features of rolling element bearings
20
  • Tunable model of a servo hydraulic tester for shock absorbers vibrational evaluation
21
  • Vibration monitoring of CNC machinery using MEMS sensors