Abnormal sound detection method for coal mine belt conveyors based on convolutional autoencoder

Abnormal sound detection method for coal mine belt conveyors based on convolutional autoencoder

To address the issue of insufficient abnormal sound samples for coal mine belt conveyors, which makes it difficult for training models to recognize anomalies, an abnormal sound detection method for coal mine belt conveyors based on Convolutional Autoencoder (CAE) is proposed. First, sound signals fr...

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Bibliographic Details
Main Authors: SHEN Long, SHAN Haoran, PEI Wenliang, YANG Guixiang, WANG Yongli
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2025-02-01
Series:Gong-kuang zidonghua
Subjects:
coal mine belt conveyor
fault diagnosis
abnormal sound detection
convolutional autoencoder
mfcc
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023090025
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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023090025

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