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

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

 
9783843368438: Classifying Damages in Engineering Material Using Bayesian Networks: Naïve Bayes Classifiers
Softcover
ISBN 10: 3843368430 ISBN 13: 9783843368438
Publisher: LAP LAMBERT Academic Publishing, 2010

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.

"synopsis" may belong to another edition of this title.

About the Authors

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

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

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

"About this title" may belong to another edition of this title.

Publisher
LAP LAMBERT Academic Publishing
Publication date
2010
Language
English
ISBN 10 
3843368430
ISBN 13 
9783843368438
Binding
Paperback
Number of pages
152