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A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate

The paper deals with data reduction technique by using the principle component analysis (PCA) applied to the carbon fiber reinforced plastic (CFRP) panels for structural health monitoring study. Two CFRP panels were subjected to damage and repair coincide with typical aircraft structural repair manu...

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Main Authors: Mohd Aris, Khairul Dahri, Mustapha, Faizal, Salit, Mohd Sapuan, Abang Abdul Majid, Dayang Laila
Format: Conference or Workshop Item
Language:English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/57668/1/57668.pdf
http://psasir.upm.edu.my/id/eprint/57668/
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spelling my.upm.eprints.576682017-10-25T01:43:56Z http://psasir.upm.edu.my/id/eprint/57668/ A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate Mohd Aris, Khairul Dahri Mustapha, Faizal Salit, Mohd Sapuan Abang Abdul Majid, Dayang Laila The paper deals with data reduction technique by using the principle component analysis (PCA) applied to the carbon fiber reinforced plastic (CFRP) panels for structural health monitoring study. Two CFRP panels were subjected to damage and repair coincide with typical aircraft structural repair manual (SRM). Data was taken at normal/ undamaged, damaged and repaired condition by placing PZT smart sensors at predetermined distanced across the damaged and repaired structure. A time-based data response was captured for post analysis during the interrogation on the structure at each condition. The raw data was captured in a Lamb wave form and only the interested intervals were selected by using Morlet wavelet analysis to evaluate the Condition Structural Index (CI) and Amplitude Based Assessment (ABA) for each conditions. The results were evaluated by using the PCA technique in order to distinguish the characteristic of the normal, damage and repair conditions. The results showed that in all cases considered, it was possible to distinguish the conditions of normal, damaged and repaired states with promising accuracy and repeatability of the data. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57668/1/57668.pdf Mohd Aris, Khairul Dahri and Mustapha, Faizal and Salit, Mohd Sapuan and Abang Abdul Majid, Dayang Laila (2012) A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate. In: International Conference on Advances in Structural Health Management and Composite Structures (ASHMCS 2012), 29-31 Aug. 2012, Jeonju, South Korea. (pp. 1-5).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The paper deals with data reduction technique by using the principle component analysis (PCA) applied to the carbon fiber reinforced plastic (CFRP) panels for structural health monitoring study. Two CFRP panels were subjected to damage and repair coincide with typical aircraft structural repair manual (SRM). Data was taken at normal/ undamaged, damaged and repaired condition by placing PZT smart sensors at predetermined distanced across the damaged and repaired structure. A time-based data response was captured for post analysis during the interrogation on the structure at each condition. The raw data was captured in a Lamb wave form and only the interested intervals were selected by using Morlet wavelet analysis to evaluate the Condition Structural Index (CI) and Amplitude Based Assessment (ABA) for each conditions. The results were evaluated by using the PCA technique in order to distinguish the characteristic of the normal, damage and repair conditions. The results showed that in all cases considered, it was possible to distinguish the conditions of normal, damaged and repaired states with promising accuracy and repeatability of the data.
format Conference or Workshop Item
author Mohd Aris, Khairul Dahri
Mustapha, Faizal
Salit, Mohd Sapuan
Abang Abdul Majid, Dayang Laila
spellingShingle Mohd Aris, Khairul Dahri
Mustapha, Faizal
Salit, Mohd Sapuan
Abang Abdul Majid, Dayang Laila
A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
author_facet Mohd Aris, Khairul Dahri
Mustapha, Faizal
Salit, Mohd Sapuan
Abang Abdul Majid, Dayang Laila
author_sort Mohd Aris, Khairul Dahri
title A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
title_short A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
title_full A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
title_fullStr A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
title_full_unstemmed A condition structural index (CSI) using principal component analysis (PCA) for normal, damage and repair conditions of CFRP laminate
title_sort condition structural index (csi) using principal component analysis (pca) for normal, damage and repair conditions of cfrp laminate
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/57668/1/57668.pdf
http://psasir.upm.edu.my/id/eprint/57668/
_version_ 1643836555808210944
score 13.211869

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