کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8130224 | 1523199 | 2016 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Minimum variance imaging based on correlation analysis of Lamb wave signals
ترجمه فارسی عنوان
حداقل تصویربرداری واریانس بر اساس تجزیه و تحلیل همبستگی سیگنال های موج لنگ
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کلمات کلیدی
موج شانه، حداقل واکنش بدون وارسی، ضریب همبستگی سیگنال محلی، شناسایی آسیب،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
آکوستیک و فرا صوت
چکیده انگلیسی
In Lamb wave imaging, MVDR (minimum variance distortionless response) is a promising approach for the detection and monitoring of large areas with sparse transducer network. Previous studies in MVDR use signal amplitude as the input damage feature, and the imaging performance is closely related to the evaluation accuracy of the scattering characteristic. However, scattering characteristic is highly dependent on damage parameters (e.g. type, orientation and size), which are unknown beforehand. The evaluation error can degrade imaging performance severely. In this study, a more reliable damage feature, LSCC (local signal correlation coefficient), is established to replace signal amplitude. In comparison with signal amplitude, one attractive feature of LSCC is its independence of damage parameters. Therefore, LSCC model in the transducer network could be accurately evaluated, the imaging performance is improved subsequently. Both theoretical analysis and experimental investigation are given to validate the effectiveness of the LSCC-based MVDR algorithm in improving imaging performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasonics - Volume 70, August 2016, Pages 107-122
Journal: Ultrasonics - Volume 70, August 2016, Pages 107-122
نویسندگان
Jiadong Hua, Jing Lin, Liang Zeng, Zhi Luo,