Neural-network diagnostics of electrochemical machining


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Abstract

In the high-precision electrochemical shaping of new high-strength and hard materials, diagnostics may be based on neural-network identification algorithms incorporated in the automated control system of the equipment.

About the authors

K. A. Masalimov

Ufa State Aviation Technical University

Author for correspondence.
Email: masalimov.ka@gmail.com
Russian Federation, Ufa

R. A. Munasypov

Ufa State Aviation Technical University

Email: masalimov.ka@gmail.com
Russian Federation, Ufa

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