Cutting Tool Degradation Monitoring in Turning with Artificial Neural Network

Colantonio, Lorenzo; Equeter, Lucas; Dehombreux, Pierre; Ducobu, François

doi:10.3850/978-981-18-8071-1_P287-cd

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Cutting Tool Degradation Monitoring in Turning with Artificial Neural Network

Colantonio, Lorenzo; Equeter, Lucas; Dehombreux, Pierre et al.

2023 • In Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023)

Peer reviewed

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https://hdl.handle.net/20.500.12907/46390

DOI
10.3850/978-981-18-8071-1_P287-cd

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Keywords :

Cutting tool; Reliability; Artificial Intelligence

Disciplines :

Mechanical engineering

Author, co-author :

Colantonio, Lorenzo ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

Equeter, Lucas ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

Dehombreux, Pierre ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

Ducobu, François ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

Language :

English

Title :

Cutting Tool Degradation Monitoring in Turning with Artificial Neural Network

Publication date :

09 September 2023

Event name :

33rd European Safety and Reliability Conference (ESREL 2023)

Event place :

Southampton, United Kingdom

Event date :

3 to 9 september 2023

Main work title :

Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023)

Publisher :

Research Publishing, Singapore, Singapore, Singapore

Peer reviewed :

Peer reviewed

Research unit :

F707 - Génie Mécanique

Research institute :

R500 - Institut des Sciences et du Management des Risques

Available on ORBi UMONS :

since 11 September 2023

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