Multi-Channel Time-Domain Boring-Vibration-Enhancement Method Using RNN Networks.

ABSTRACT: The larvae of certain wood-boring beetles typically inhabit the interior of trees and feed on the wood, leaving almost no external traces during the early stages of infestation. Acoustic techniques are commonly employed to detect the vibrations produced by these larvae while they feed on wood, significantly increasing detection efficiency compared to traditional methods. However, this method's accuracy is greatly affected by environmental noise interference. To address the impact of environmental noise, this paper introduces a signal separation system based on a multi-channel attention mechanism. The system utilizes multiple sensors to receive wood-boring vibration signals and employs the attention mechanism to adjust the weights of relevant channels. By utilizing beamforming techniques, t

SUBMITTER: Xu X 

PROVIDER: S-EPMC10607493 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature