Neural Network Detection of Fatigue Crack Growth in Riveted Joints Using Acoustic Emission

Neural Network Detection of Fatigue Crack Growth in Riveted Joints Using Acoustic Emission
Author: Adriano F. de Almeida
Publisher:
Total Pages: 134
Release: 1994
Genre: Acoustic emission
ISBN:


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"The purpose of this research was to demonstrate the capability of neural networks to discriminate between individual acoustic emission (AE) signals originating from crack growth and rivet rubbing (fretting) in aluminum lap joints."--Leaf iv.


Neural Network Detection of Fatigue Crack Growth in Riveted Joints Using Acoustic Emission
Language: en
Pages: 134
Authors: Adriano F. de Almeida
Categories: Acoustic emission
Type: BOOK - Published: 1994 - Publisher:

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"The purpose of this research was to demonstrate the capability of neural networks to discriminate between individual acoustic emission (AE) signals originating
Fatigue Crack Growth in Riveted Joints
Language: en
Pages: 264
Authors: Scott Anthony Fawaz
Categories: Technology & Engineering
Type: BOOK - Published: 1997 - Publisher:

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Advances in Acoustic Emission Technology
Language: en
Pages: 671
Authors: Gongtian Shen
Categories: Science
Type: BOOK - Published: 2014-09-25 - Publisher: Springer

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This volume collects the papers from the 2013 World Conference on Acoustic Emission in Shanghai. The latest research and applications of Acoustic Emission (AE)
Non-Destructive Evaluation of Corrosion and Corrosion-assisted Cracking
Language: en
Pages: 447
Authors: Raman Singh
Categories: Technology & Engineering
Type: BOOK - Published: 2019-03-08 - Publisher: John Wiley & Sons

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A comprehensive text to the non-destructive evaluation of degradation of materials due to environment that takes an interdisciplinary approach Non-Destructive E
Artificial Neural Networks for Civil Engineers
Language: en
Pages: 300
Authors: Ian Flood
Categories: Technology & Engineering
Type: BOOK - Published: 1998-01-01 - Publisher: ASCE Publications

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Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advance