Classifying Damages in Engineering Material Using Bayesian Networks: Naïve Bayes Classifiers

Mohamed Addin, Addin Osman, S. Salit, M., Othman, M.

ISBN 10: 3843368430 / ISBN 13: 9783843368438

Published by LAP LAMBERT Academic Publishing, 2010

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Bibliographic Details

• Title: Classifying Damages in Engineering Material Using Bayesian Networks: Naïve Bayes Classifiers
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843368430
• ISBN 13: 9783843368438
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

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.

About the Author

Najran University, Kingdom of Saudi Arabia and University Putra Malaysia, Malaysia.