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).
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference23 articles.
1. The strategy of preventive maintenance of mining machines based on the recognition of their actual technical condition;Guericke;Min. J.,2008
2. Problems of increasing the technological reliability of mining equipment;Dorosheev;Min. Inf. Anal. Bull.,2010
3. Effect of the Denoising on Acoustic Emission Signals
4. Monitoring of Fracture of Welded Joints in Hazardous Facilities by Acoustic Emission under Static and Cyclic Loadings
5. Acoustic Emission Monitoring of Industrial Facilities under Static and Cyclic Loading
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献