Classification of damage severity in natural fibre composites using principal component analysis

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

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Abstract

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

Item Type:	Article
Uncontrolled Keywords:	Classification; Principal component analysis; Damage severity
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ181-210 Mechanical movements
Divisions:	Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering
Depositing User:	UiTM Student Praktikal
Date Deposited:	24 Jan 2022 07:32
Last Modified:	24 Jan 2022 07:32
URI:	http://eprints.uthm.edu.my/id/eprint/5892

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