Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials
This paper is intended to introduce the Bayesian network in general and the Naïve-bayes in particular as one of the most successful classification systems to simulate damage detection in laminated composite materials. A method for feature subset selection based on intervals between the amplitudes of...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Online Access: | http://psasir.upm.edu.my/id/eprint/38990/ http://psasir.upm.edu.my/id/eprint/38990/1/38990.pdf |
| _version_ | 1848849024085393408 |
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| author | Mohamed Addin, Addin Osman Salit, Mohd Sapuan Ebrahimi, Mahdi Othman, Mohamed Ismail, Napsiah |
| author_facet | Mohamed Addin, Addin Osman Salit, Mohd Sapuan Ebrahimi, Mahdi Othman, Mohamed Ismail, Napsiah |
| author_sort | Mohamed Addin, Addin Osman |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper is intended to introduce the Bayesian network in general and the Naïve-bayes in particular as one of the most successful classification systems to simulate damage detection in laminated composite materials. A method for feature subset selection based on intervals between the amplitudes of waves used for damage detection is also introduced. The method utilizes clustering in the process of feature subset selection. The Bayesian classification and the feature selection method are analyzed based on theoretical point of view and only preliminary tests were conducted based on artificial damages created in quasi-isotopic laminates of the AS4/3501-6 graphite/epoxy system. |
| first_indexed | 2025-11-15T09:43:49Z |
| format | Conference or Workshop Item |
| id | upm-38990 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:43:49Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-389902015-07-13T07:21:37Z http://psasir.upm.edu.my/id/eprint/38990/ Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials Mohamed Addin, Addin Osman Salit, Mohd Sapuan Ebrahimi, Mahdi Othman, Mohamed Ismail, Napsiah This paper is intended to introduce the Bayesian network in general and the Naïve-bayes in particular as one of the most successful classification systems to simulate damage detection in laminated composite materials. A method for feature subset selection based on intervals between the amplitudes of waves used for damage detection is also introduced. The method utilizes clustering in the process of feature subset selection. The Bayesian classification and the feature selection method are analyzed based on theoretical point of view and only preliminary tests were conducted based on artificial damages created in quasi-isotopic laminates of the AS4/3501-6 graphite/epoxy system. 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38990/1/38990.pdf Mohamed Addin, Addin Osman and Salit, Mohd Sapuan and Ebrahimi, Mahdi and Othman, Mohamed and Ismail, Napsiah (2005) Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials. In: International Advanced Technology Congress: Conference on Intelligent Systems and Robotics, 6-8 Dec. 2005, Putrajaya, Malaysia. . |
| spellingShingle | Mohamed Addin, Addin Osman Salit, Mohd Sapuan Ebrahimi, Mahdi Othman, Mohamed Ismail, Napsiah Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title | Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title_full | Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title_fullStr | Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title_full_unstemmed | Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title_short | Bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| title_sort | bayesian network approach to classify damages and f -folds feature subset selection method in laminated composite materials |
| url | http://psasir.upm.edu.my/id/eprint/38990/ http://psasir.upm.edu.my/id/eprint/38990/1/38990.pdf |