On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research

B Sick - Mechanical systems and signal processing, 2002 - Elsevier
The supervision of tool wear is the most difficult task in the context of tool condition
monitoring for metal-cutting processes. Based on a continuous acquisition of signals with …
被引用次数：599 相关文章

On-Line and Indirect Tool Wear Monitoring in Turning with Artificial Neural Networks: a Review of More than a Decade of Research

B Sick - Mechanical Systems and Signal Processing, 2002 - ui.adsabs.harvard.edu
The supervision of tool wear is the most difficult task in the context of tool condition
monitoring for metal-cutting processes. Based on a continuous acquisition of signals with …

ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF …

B SICK - Mechanical Systems and Signal Processing, 2002 - elibrary.ru
The supervision of tool wear is the most difficult task in the context of tool condition
monitoring for metal-cutting processes. Based on a continuous acquisition of signals with …

ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF …

B SICK - Mechanical Systems and Signal Processing, 2002 - infona.pl
The supervision of tool wear is the most difficult task in the context of tool condition
monitoring for metal-cutting processes. Based on a continuous acquisition of signals with …
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[PDF][PDF] ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF …

B Sick - Mechanical Systems and Signal Processing, 2002 - academia.edu
1. INTRODUCTION Manufacturing processes like drilling, milling, or turning can be
optimised significantly using reliable and flexible tool monitoring systems. The most …

[引用][C] On-line and indirect tool wear monitoring in turning with artificial neural networks: A review of more than a decade of research

B SICK - Mechanical systems and signal processing, 2002 - Elsevier