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Detection of tool breakage in milling operations—II. The neural network approach

  • Published:1993-08 Issue:4 Volume:33 Page:545-558
  • ISSN:0890-6955
  • Container-title:International Journal of Machine Tools and Manufacture
  • language:en
  • Short-container-title:International Journal of Machine Tools and Manufacture

Author:

Tansel Ibrahim Nur,McLaughlin Charles

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference14 articles.

1. Neural network approach for representation and simulation of 3D-cutting dynamics;Tansel;Trans. North Am. Metal Res. Inst.,1990

2. A logical calculus of ideas immanent in nervous activity;McCulloch;Bull. math. Biophys.,1943

3. Principles of Neurodynamics;Rosenblatt,1962

4. Adaptive switching circuits;Widrow;WESCON Convention Record IV,1960

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1. Monitoring the misalignment of machine tools with autoencoders after they are trained with transfer learning data;The International Journal of Advanced Manufacturing Technology;2023-08-19

2. Machine ensemble approach for simultaneous detection of transient and gradual abnormalities in end milling using multisensor fusion;Journal of Materials Processing Technology;2009-06

3. Tool breakage diagnosis in face milling by support vector machine;Journal of Materials Processing Technology;2009-01

4. Application of wavelet packet analysis in drill wear monitoring;MACH SCI TECHNOL;2007

5. Machine tool condition monitoring using sweeping filter techniques;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2007-02-01
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