Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network

Research article (IEEE Sensors Journal, 2024) · cited 18× · AI/ML
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Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network

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Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/belt-conveyor-idlers-fault-detection-using-acoustic-analysis-and-deep-learning-algorithm-with-the-yamnet-pretrained-netw
MLA “Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/belt-conveyor-idlers-fault-detection-using-acoustic-analysis-and-deep-learning-algorithm-with-the-yamnet-pretrained-netw.
BibTeX @misc{4ortxyz_belt-conveyor-idlers-fault-detection-using-acoustic-analysis-and-deep-learning-algorithm-with-the-yamnet-pretrained-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network}}, year = {2026}, url = {https://4ort.xyz/entity/belt-conveyor-idlers-fault-detection-using-acoustic-analysis-and-deep-learning-algorithm-with-the-yamnet-pretrained-netw}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm With the YAMNet Pretrained Network — https://4ort.xyz/entity/belt-conveyor-idlers-fault-detection-using-acoustic-analysis-and-deep-learning-algorithm-with-the-yamnet-pretrained-netw (retrieved 2026-05-24)

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