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Characterization of Manufacturing Processes Based upon Acoustic Emission Analysis by Neural Networks

  • Published:1994 Issue:1 Volume:43 Page:77-80
  • ISSN:0007-8506
  • Container-title:CIRP Annals
  • language:en
  • Short-container-title:CIRP Annals

Author:

Grabec I.,Kuljanić E.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference10 articles.

1. A Critical Review of Sensors for Unmanned Machining;Andrews;Ann. CIRP,1983

2. Self-Organizing Neural Network Application to Technical Process Parameters Estimation;Govekar,1967

3. Intelligent Processing of Ultrasonic Signals for Process Control Applications;Grabec;Materials Evaluation,1993

4. Recognition of Surfaces from Tactile AE Signals, 4th World Meeting on AE & 1st Int. Con. on AE in Manuf, ANT;Susiĉ,1991

5. Self-Organization of Neurons Described by the Maximum-Entropy Principle;Grabec;Biol. Cyb.,1990

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1. A study on intelligent grinding systems with industrial perspective;The International Journal of Advanced Manufacturing Technology;2021-06-11

2. Microseismic monitoring and application;Scale-Size and Structural Effects of Rock Materials;2020

3. Acoustic emission signal of fiber-reinforced composite grinding: frequency components and damage pattern recognition;The International Journal of Advanced Manufacturing Technology;2019-04-05

4. ANN Modelling to Optimize Manufacturing Process;Advanced Applications for Artificial Neural Networks;2018-02-28

5. Acoustic Emission Signal Recognition of Different Rocks Using Wavelet Transform and Artificial Neural Network;Shock and Vibration;2015
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