Applied Sciences (Apr 2021)

Structural Health Monitoring of Walking Dragline Excavator Using Acoustic Emission

  • Vera Barat,
  • Artem Marchenkov,
  • Dmitry Kritskiy,
  • Vladimir Bardakov,
  • Marina Karpova,
  • Mikhail Kuznetsov,
  • Anastasia Zaprudnova,
  • Sergey Ushanov,
  • Sergey Elizarov

DOI
https://doi.org/10.3390/app11083420
Journal volume & issue
Vol. 11, no. 8
p. 3420

Abstract

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The article is devoted to the organization of the structural health monitoring of a walking dragline excavator using the acoustic emission (AE) method. Since the dragline excavator under study is a large and noisy industrial facility, preliminary prospecting researches were carried out to conduct effective control by the AE method, including the study of AE sources, AE waveguide, and noise parameters analysis. In addition, AE filtering methods were improved. It is shown that application of the developed filtering algorithms allows to detect AE impulses from cracks and defects against a background noise exceeding the useful signal in amplitude and intensity. Using the proposed solutions in the monitoring of a real dragline excavator during its operation made it possible to identify a crack in one of its elements (weld joint in a dragline back leg).

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