Multiclass classification of faulty industrial machinery using sound samples-Reference-Cited by-同舟云学术

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Multiclass classification of faulty industrial machinery using sound samples

Published:2024-10 Issue: Volume:136 Page:108943
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gantert Luana^ORCID,Zeffiro Trevor^ORCID,Sammarco Matteo^ORCID,Campista Miguel Elias M.^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges;Aceto;IEEE Commun. Surv. Tutor.,2019

2. PyCaret: An open source, low-code machine learning library in Python;Ali,2020

3. Revision of the Tennessee eastman process model;Bathelt;IFAC-PapersOnLine,2015

4. A survey on deep learning for challenged networks: Applications and trends;Bochie;J. Netw. Comput. Appl.,2021

5. Traffic density classification using sound datasets: An empirical study on traffic flow at asymmetric roads;Bui;IEEE Access,2020

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