Artificial intelligence applied to automatic supervision, diagnosis and control in sheet metal stamping processes

Author:

García C.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference28 articles.

1. Application of acoustic emission sensor for monitoring machining processes;Inasaki;Ultrasonics,1998

2. Analysis of acoustic emission signals and monitoring of machining processes;Govekar;Ultrasonics,2000

3. Classification of cutting tool wear by chaotic characteristics;Govekar,1998

4. Identification of the cutting state using a multi-sensor measurement system and FFT algorithm;Grzesik,1998

5. A brief review: acoustic emisión meted for tool wear monitoring during turning;Li;Int. J. Mach. Tools Manuf.,2002

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