Classifying Damages in Engineering Material Using Bayesian Networks

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2010, 2010

3843368430 / 9783843368438

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This item is printed on demand - Print on Demand Titel. Neuware -Since its foundation in 1980s, Bayesian networks have been widely and successfully implemented in many research and industrial areas. Nevertheless, they have not been thoroughly investigated and implemented for damage detection in engineering materials. This book provides a through introduction to Bayesian networks as a competitive probabilistic graphical model in general and as a classification tool (the Naïve bayes classifier) in particular for damage detection in engineering material. Since the feature extraction is essential for the classifiers, the book introduces the f -folds feature extraction algorithm. The derivation of the algorithm is based on empirical study on a data set, which represents voltage amplitudes of Lamb-waves produced and collected by sensors and actuators mounted on the surface of quasi-isotropic graphite/epoxy laminates contain different artificial damages.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. …

Seller Inventory # 9783843368438

Title
Classifying Damages in Engineering Material Using Bayesian Networks
Author
Addin Osman Mohamed Addin
Publisher
LAP LAMBERT Academic Publishing Dez 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3843368430
ISBN 13
9783843368438
Item weight
244 grams
Dimensions
220x150x10 mm

buchversandmimpf2000

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