Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system

This paper is intended to compare the Naïve bayes classifier for ball bearing fault diagnostic system with the back propagation neural network based on the f-folds feature extraction algorithm. The f-folds feature extraction algorithm has been used with different number of folders and clusters. The...

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Main Authors: Osman Mohamed Addin, Addin, Salit, Mohd Sapuan, Othman, Mohamed, Ahmed Ali, Basheer Ahmed
Format: Article
Language:English
Published: Academic Journals 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22521/
http://psasir.upm.edu.my/id/eprint/22521/1/Comparison%20of%20Na%C3%AFve%20bayes%20classifier%20with%20back%20propagation%20neural%20network%20classifier%20based%20on%20f%20-%20folds%20feature%20extraction%20algorithm%20for%20ball%20bearing%20fault%20diagnostic%20system.pdf
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author Osman Mohamed Addin, Addin
Salit, Mohd Sapuan
Othman, Mohamed
Ahmed Ali, Basheer Ahmed
author_facet Osman Mohamed Addin, Addin
Salit, Mohd Sapuan
Othman, Mohamed
Ahmed Ali, Basheer Ahmed
author_sort Osman Mohamed Addin, Addin
building UPM Institutional Repository
collection Online Access
description This paper is intended to compare the Naïve bayes classifier for ball bearing fault diagnostic system with the back propagation neural network based on the f-folds feature extraction algorithm. The f-folds feature extraction algorithm has been used with different number of folders and clusters. The two classifiers have shown similar classification accuracies. The Naive bayes classifier has not shown any case of false negative or false positive classification. However, the back propagation neural network classifier has shown many cases of false positive and false negative classifications.
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institution Universiti Putra Malaysia
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language English
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publishDate 2011
publisher Academic Journals
recordtype eprints
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spelling upm-225212015-10-19T08:58:53Z http://psasir.upm.edu.my/id/eprint/22521/ Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system Osman Mohamed Addin, Addin Salit, Mohd Sapuan Othman, Mohamed Ahmed Ali, Basheer Ahmed This paper is intended to compare the Naïve bayes classifier for ball bearing fault diagnostic system with the back propagation neural network based on the f-folds feature extraction algorithm. The f-folds feature extraction algorithm has been used with different number of folders and clusters. The two classifiers have shown similar classification accuracies. The Naive bayes classifier has not shown any case of false negative or false positive classification. However, the back propagation neural network classifier has shown many cases of false positive and false negative classifications. Academic Journals 2011-07 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22521/1/Comparison%20of%20Na%C3%AFve%20bayes%20classifier%20with%20back%20propagation%20neural%20network%20classifier%20based%20on%20f%20-%20folds%20feature%20extraction%20algorithm%20for%20ball%20bearing%20fault%20diagnostic%20system.pdf Osman Mohamed Addin, Addin and Salit, Mohd Sapuan and Othman, Mohamed and Ahmed Ali, Basheer Ahmed (2011) Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system. International Journal of Physical Sciences, 6 (13). pp. 3181-3188. ISSN 1992-1950 http://academicjournals.org/journal/IJPS/article-abstract/B1A1D7521872
spellingShingle Osman Mohamed Addin, Addin
Salit, Mohd Sapuan
Othman, Mohamed
Ahmed Ali, Basheer Ahmed
Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title_full Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title_fullStr Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title_full_unstemmed Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title_short Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
title_sort comparison of naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system
url http://psasir.upm.edu.my/id/eprint/22521/
http://psasir.upm.edu.my/id/eprint/22521/
http://psasir.upm.edu.my/id/eprint/22521/1/Comparison%20of%20Na%C3%AFve%20bayes%20classifier%20with%20back%20propagation%20neural%20network%20classifier%20based%20on%20f%20-%20folds%20feature%20extraction%20algorithm%20for%20ball%20bearing%20fault%20diagnostic%20system.pdf