دورية أكاديمية

Enhancement of shearography-based damage identification using best tree wavelet packet analysis

التفاصيل البيبلوغرافية
العنوان: Enhancement of shearography-based damage identification using best tree wavelet packet analysis
المؤلفون: Katunin Andrzej, Lopes Hernani, dos Santos José Viriato Araújo
المصدر: MATEC Web of Conferences, Vol 204, p 06002 (2018)
بيانات النشر: EDP Sciences, 2018.
سنة النشر: 2018
المجموعة: LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: Engineering (General). Civil engineering (General), TA1-2040
الوصف: Shearography found many industrial applications as a non-destructive testing method due to its high spatial resolution and contactless measurements. However, to detect small structural damage, shearography should be enhanced by applying advanced signal processing methods to results of experimental testing. In this paper, the authors present an enhanced method based on the best tree wavelet packet analysis, which allows for extraction of the most informative nodes from the 2D wavelet packet decomposition tree. The proposed method is more effective than typical wavelet transforms due to its ability of adaptive selection of the best basis. The efficiency of the method was verified experimentally on damaged plates. The obtained results clearly show high sensitivity to the introduced small damage, which make the method attractive for industrial applications.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2261-236X
Relation: https://doaj.org/toc/2261-236X
DOI: 10.1051/matecconf/201820406002
URL الوصول: https://doaj.org/article/2ee515ab5fc34b86a187efe041f72967
رقم الأكسشن: edsdoj.2ee515ab5fc34b86a187efe041f72967
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2261236X
DOI:10.1051/matecconf/201820406002