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The analysis of signal disruptions from an optical triangulation measurement sensor

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the analysis of a measurement signal from a measurement triangulation sensor (laser) obtained during the positioning of an industrial robot. The signal is characterised by the range of disruptions. Their character is complex, because it involves the influence of robot position correction signals generated by the drive, free vibrations of the mechanical system caused by its movement and instability of reading the optical measurement sensor. There are presented the components of a test stand as well as the interactions between the robot control system, PLC, the laser controller and the user's HMI. The results of the analysis of the obtained data indicate that the reliable reading in the time shorter than the time of the system relaxation is possible. The presented issue is an element of a wider research program, the aim of which is to determine the correlations between the measurement capability of the method realised with the active use of an industrial robot and the measurement realisation time.
Wydawca
Rocznik
Strony
62--65
Opis fizyczny
Bibliogr. 5 poz., rys., wykr., wzory
Twórcy
autor
  • University of Bielsko-Biała, Faculty of Mechanical Engineertng And Computer Science, 2 Willowa Str., 32-300 Bielsko-Biała
autor
  • University of Bielsko-Biała, Faculty of Mechanical Engineertng And Computer Science, 2 Willowa Str., 32-300 Bielsko-Biała
Bibliografia
  • [1] Malacara-Hernández D., Schmit J., Schrőder S.: Optical Fabrication, Testing, and Metrology. Optical Engineering, vol. 53(9), 2014.
  • [2] Shetty D., Ali A., Hill J.: Optical Instrumentation for Vibration Measurement and Monitoring. Int. J. of Precision Engineering and Manufacturing, 12(3), pp. 405-411, 2011.
  • [3] Klimanov M. M.: Triangulation Laser System for Measurement and Inspection of Turbine Blades. Measurement Techniques 52(7), pp. 725-731, 2009.
  • [4] Paszkiel S.: Use of PCA and ICA methods for analysis of EGG signal in context of removal of artefacts. Pomiary Automatyka Kontrola 59(3), pp. 204-207, 2013.
  • [5] Oliveira M., Nápoles S., Oliveira S.: Fourier Analysis: Graphical Animation and Analysis of Experimental Data with Excel. Spreadsheets in Education 5(2), art. 2, 2012.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-04a8f943-5ce5-4709-b6a6-1f8c55e940b4
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