University of Pretoria
Browse
3DPT Data.zip (16.4 MB)

Stereoscopic point tracking measurements for turbomachinery rotor blades

Download (16.4 MB)
dataset
posted on 2024-06-28, 14:23 authored by Benjamin GwashavanhuBenjamin Gwashavanhu, Abraham OberholsterAbraham Oberholster, Stephan Heyns

This dataset contains point tracking data for three blades of a five bladed rotor system. The measurements are captured by two high speed cameras at 4000 frames per second, for three rotational speeds (650 rpm, 1000 rpm, and 1460 rpm).  Photogrammetric shape-based analysis was employed as an approach that does not require prior surface preparation.  A comparative study to investigate the performance of PCA of SPCDs in relation to Kernel Principal Component Analysis (KPCA) is also conducted, and it is shown that KPCA outperforms PCA in terms of classifying different blade faults.  

History

Department/Unit

Mechanical and Aeronautical Engineering

Sustainable Development Goals

  • 9 Industry, Innovation and Infrastructure

Usage metrics

    Engineering, Built Environment and Information Technology

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC