2023
DOI: 10.3390/electronics13010034
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Failure Identification Method of Sound Signal of Belt Conveyor Rollers under Strong Noise Environment

Yuxuan Ban,
Chunyang Liu,
Fang Yang
et al.

Abstract: Accurately extracting faulty sound signals from belt conveyor rollers within the high-noise environment of coal mine operations presents a formidable challenge. To address this issue, this study introduces an innovative fault diagnosis method that merges the variational modal de-composition (VMD) model with the Swin Transformer deep learning network model. First, the study employed the adaptive VMD method to eliminate intense noise from the original signal of the rollers, while also assessing the reconstructio… Show more

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Cited by 4 publications
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