Enhancing Tool Wear Prediction Accuracy Using Walsh–Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection

Tool wear is an important concern in the manufacturing sector that leads to quality loss, lower productivity, and increased downtime. In recent years, there has been a rise in the popularity of implementing TCM systems using various signal processing methods and machine learning algorithms. In the p...

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Detalles Bibliográficos
Autores principales: Shah, Milind, Borade, Himanshu, Sanghavi, Vedant, Purohit, Anshuman, Wankhede, Vishal, Vakharia, Vinay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144248/
https://www.ncbi.nlm.nih.gov/pubmed/37112174
http://dx.doi.org/10.3390/s23083833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144248/
https://www.ncbi.nlm.nih.gov/pubmed/37112174
http://dx.doi.org/10.3390/s23083833

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