Abstract
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).
Highlights
The dragline excavator is a widely known type of heavy equipment used in civil engineering and surface mining industry
This paper describes a method design of a walking dragline excavator system based on the application of theofAE
The result of its application is represented in Figure number of localized ingevents of a dragline excavator confirmed, and a method for interpreting diagnostic decreased to 1517,was while both uniform background noise and false clustersdata at waslocation developed
Summary
The dragline excavator is a widely known type of heavy equipment used in civil engineering and surface mining industry. A system of a dragline consists of a large bucket that is suspended from a boom with wire ropes (Figure 1). The hoist rope is usually driven by diesel or electric motors. Its main function is to support the dragline bucket and hoist-coupler assembly from the boom. The dragrope is generally applied to move the bucket horizontally. Unlike conventional types of excavators, dragline digs by dragging the bucket only in one direction—towards the excavator [1]
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