Classification of damage severity in natural fibre composites using principal component analysis
The present paper deals with an approach in predicting the classification of damage in natural fibre reinforced composites (NFC) panel using signal processing procedure as indicative parameters and principle component analysis as a learning tool. An impact event produced strain data and the response...
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| Format: | Article |
| Language: | en |
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Penerbit UTHM
2018
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| Online Access: | http://eprints.uthm.edu.my/5892/1/AJ%202018%20%28929%29%20Classification%20of%20damage%20severity%20in%20natural%20fibre%20composites%20using%20principal%20component%20analysis.pdf http://eprints.uthm.edu.my/5892/ |
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| author | Mohamad, Zaleha Ismail, Al Emran Zainulabidin, Muhd Hafeez Mat Noor, Fazimah Abd Wahab, Hanani Ismon, Maznan Madlan, Mohd Amran Mahzan, S |
| author_facet | Mohamad, Zaleha Ismail, Al Emran Zainulabidin, Muhd Hafeez Mat Noor, Fazimah Abd Wahab, Hanani Ismon, Maznan Madlan, Mohd Amran Mahzan, S |
| author_sort | Mohamad, Zaleha |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The present paper deals with an approach in predicting the classification of damage in natural fibre reinforced composites (NFC) panel using signal processing procedure as indicative parameters and principle component analysis as a learning tool. An impact event produced strain data and the response signal was investigated. An effective impact damage classification procedure is established using a principal component analysis approach. The system was trained to classify the damage class based on the input from the signal features. It has been observed that, the network can learn and classify effectively the damage size in the panel which is the combination features retained at about 84.5% of the variance |
| format | Article |
| id | my.uthm.eprints-5892 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2018 |
| publisher | Penerbit UTHM |
| record_format | eprints |
| spelling | my.uthm.eprints-58922022-01-24T07:32:34Z http://eprints.uthm.edu.my/5892/ Classification of damage severity in natural fibre composites using principal component analysis Mohamad, Zaleha Ismail, Al Emran Zainulabidin, Muhd Hafeez Mat Noor, Fazimah Abd Wahab, Hanani Ismon, Maznan Madlan, Mohd Amran Mahzan, S TJ181-210 Mechanical movements The present paper deals with an approach in predicting the classification of damage in natural fibre reinforced composites (NFC) panel using signal processing procedure as indicative parameters and principle component analysis as a learning tool. An impact event produced strain data and the response signal was investigated. An effective impact damage classification procedure is established using a principal component analysis approach. The system was trained to classify the damage class based on the input from the signal features. It has been observed that, the network can learn and classify effectively the damage size in the panel which is the combination features retained at about 84.5% of the variance Penerbit UTHM 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5892/1/AJ%202018%20%28929%29%20Classification%20of%20damage%20severity%20in%20natural%20fibre%20composites%20using%20principal%20component%20analysis.pdf Mohamad, Zaleha and Ismail, Al Emran and Zainulabidin, Muhd Hafeez and Mat Noor, Fazimah and Abd Wahab, Hanani and Ismon, Maznan and Madlan, Mohd Amran and Mahzan, S (2018) Classification of damage severity in natural fibre composites using principal component analysis. International Journal of Integrated Engineering, 10 (8). pp. 147-152. ISSN 2229-838X |
| spellingShingle | TJ181-210 Mechanical movements Mohamad, Zaleha Ismail, Al Emran Zainulabidin, Muhd Hafeez Mat Noor, Fazimah Abd Wahab, Hanani Ismon, Maznan Madlan, Mohd Amran Mahzan, S Classification of damage severity in natural fibre composites using principal component analysis |
| title | Classification of damage severity in natural fibre composites using principal component analysis |
| title_full | Classification of damage severity in natural fibre composites using principal component analysis |
| title_fullStr | Classification of damage severity in natural fibre composites using principal component analysis |
| title_full_unstemmed | Classification of damage severity in natural fibre composites using principal component analysis |
| title_short | Classification of damage severity in natural fibre composites using principal component analysis |
| title_sort | classification of damage severity in natural fibre composites using principal component analysis |
| topic | TJ181-210 Mechanical movements |
| url | http://eprints.uthm.edu.my/5892/1/AJ%202018%20%28929%29%20Classification%20of%20damage%20severity%20in%20natural%20fibre%20composites%20using%20principal%20component%20analysis.pdf http://eprints.uthm.edu.my/5892/ |
| url_provider | http://eprints.uthm.edu.my/ |