Damage Classification in CFRP Laminates using Principal Component Analysis (PCA) Approach

被引：0
|
作者：
Sultan, M. T. H. [1 ]
Rafie, A. S. M. [1 ]
Yidris, N. [1 ]
Mustapha, F. [1 ]
Majid, D. L. [1 ]
机构：
[1] Univ Putra Malaysia, Dept Aerosp Engn, Fac Engn, Upm Serdang 43400, Selangor, Malaysia
来源：
AEROTECH IV: RECENT ADVANCES IN AEROSPACE TECHNOLOGIES | 2012年 / 225卷
关键词：
Principal Component Analysis; matrix cracking; matrix breakage; fibre cracking; fibre breakage; HEALTH MONITORING METHODOLOGY; EXPERIMENTAL VALIDATION; NOVELTY DETECTION;
D O I：
10.4028/www.scientific.net/AMM.225.189
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Signal processing is an important element used for identifying damage in any SHM-related application. The method here is used to extract features from the use of different types of sensors, of which there are many. The responses from the sensors are also interpreted to classify the location and severity of the damage. This paper describes the signal processing approaches used for detecting the impact locations and monitoring the responses of impact damage. Further explanations are also given on the most widely-used software tools for damage detection and identification implemented throughout this research work. A brief introduction to these signal processing tools, together with some previous work related to impact damage detection, are presented and discussed in this paper.
引用
收藏
页码：189 / 194
页数：6
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