Unsupervised Machine Learning for Advanced Tolerance Monitoring of Wire Electrical Discharge Machining of Disc Turbine Fir-Tree Slots

Manufacturing more efficient low pressure turbines has become a topic of primary importance for aerospace companies. Specifically, wire electrical discharge machining of disc turbine fir-tree slots has attracted increasing interest in recent years. However, important issues must be still addressed f...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Sanchez, Jose A., Ayesta, Izaro, Iturrioz, Jon A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210559/
https://www.ncbi.nlm.nih.gov/pubmed/30297666
http://dx.doi.org/10.3390/s18103359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210559/
https://www.ncbi.nlm.nih.gov/pubmed/30297666
http://dx.doi.org/10.3390/s18103359

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