A Naïve-Bayes classifier for damage detection in engineering materials
This paper is intended to introduce the Bayesian network in general and the Naïve-Bayes classifier in particular as one of the most successful classification systems to simulate damage detection in engineering materials. A method for feature subset selection has also been introduced too. The method...
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English English |
| Julkaistu: |
Elsevier
2007
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| Aiheet: | |
| Linkit: | http://psasir.upm.edu.my/id/eprint/12500/1/A%20Na%C3%AFve.pdf |
| _version_ | 1825945063272742912 |
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| author | Addin, O. Salit, Mohd Sapuan Mahdi Ahmad Saad, Elsadig Othman, Mohamed |
| author_facet | Addin, O. Salit, Mohd Sapuan Mahdi Ahmad Saad, Elsadig Othman, Mohamed |
| author_sort | Addin, O. |
| collection | UPM |
| description | This paper is intended to introduce the Bayesian network in general and the Naïve-Bayes classifier in particular as one of the most successful classification systems to simulate damage detection in engineering materials. A method for feature subset selection has also been introduced too. The method is based on mean and maximum values of the amplitudes of waves after dividing them into folds then grouping them by a clustering algorithm (e.g. k-means algorithm). The Naïve-Bayes classifier and the feature sub-set selection method were analyzed and tested on two sets of data. The data sets were conducted based on artificial damages created in quasi isotopic laminated composites of the AS4/3501-6 graphite/epoxy system and ball bearing of the type 6204 with a steel cage. The Naïve-Bayes classifier and the proposed feature subset selection algorithm have been shown as efficient techniques for damage detection in engineering materials.
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| first_indexed | 2024-03-06T07:25:40Z |
| format | Article |
| id | upm.eprints-12500 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:25:40Z |
| publishDate | 2007 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | upm.eprints-125002015-12-08T07:51:11Z http://psasir.upm.edu.my/id/eprint/12500/ A Naïve-Bayes classifier for damage detection in engineering materials Addin, O. Salit, Mohd Sapuan Mahdi Ahmad Saad, Elsadig Othman, Mohamed This paper is intended to introduce the Bayesian network in general and the Naïve-Bayes classifier in particular as one of the most successful classification systems to simulate damage detection in engineering materials. A method for feature subset selection has also been introduced too. The method is based on mean and maximum values of the amplitudes of waves after dividing them into folds then grouping them by a clustering algorithm (e.g. k-means algorithm). The Naïve-Bayes classifier and the feature sub-set selection method were analyzed and tested on two sets of data. The data sets were conducted based on artificial damages created in quasi isotopic laminated composites of the AS4/3501-6 graphite/epoxy system and ball bearing of the type 6204 with a steel cage. The Naïve-Bayes classifier and the proposed feature subset selection algorithm have been shown as efficient techniques for damage detection in engineering materials. Elsevier 2007 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12500/1/A%20Na%C3%AFve.pdf Addin, O. and Salit, Mohd Sapuan and Mahdi Ahmad Saad, Elsadig and Othman, Mohamed (2007) A Naïve-Bayes classifier for damage detection in engineering materials. Materials and Design, 28 (8). pp. 2379-2386. ISSN 0264-1275 http://dx.doi.org/10.1016/j.matdes.2006.07.018 Bayesian statistical decision theory Bayesian field theory English |
| spellingShingle | Bayesian statistical decision theory Bayesian field theory Addin, O. Salit, Mohd Sapuan Mahdi Ahmad Saad, Elsadig Othman, Mohamed A Naïve-Bayes classifier for damage detection in engineering materials |
| title | A Naïve-Bayes classifier for damage detection in engineering materials |
| title_full | A Naïve-Bayes classifier for damage detection in engineering materials |
| title_fullStr | A Naïve-Bayes classifier for damage detection in engineering materials |
| title_full_unstemmed | A Naïve-Bayes classifier for damage detection in engineering materials |
| title_short | A Naïve-Bayes classifier for damage detection in engineering materials |
| title_sort | naive bayes classifier for damage detection in engineering materials |
| topic | Bayesian statistical decision theory Bayesian field theory |
| url | http://psasir.upm.edu.my/id/eprint/12500/1/A%20Na%C3%AFve.pdf |
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