دانلود مقاله ISI انگلیسی شماره 147362
ترجمه فارسی عنوان مقاله

محلی سازی اثرات قابلیت اطمینان در پانل های کامپوزیت با استفاده از به روز رسانی بیزی و فیلتر کالمن

عنوان انگلیسی
Reliability based impact localization in composite panels using Bayesian updating and the Kalman filter
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
147362 2018 22 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Mechanical Systems and Signal Processing, Volume 99, 15 January 2018, Pages 107-128

پیش نمایش مقاله
پیش نمایش مقاله  محلی سازی اثرات قابلیت اطمینان در پانل های کامپوزیت با استفاده از به روز رسانی بیزی و فیلتر کالمن

In this work, a reliability based impact detection strategy for a sensorized composite structure is proposed. Impacts are localized using Artificial Neural Networks (ANNs) with recorded guided waves due to impacts used as inputs. To account for variability in the recorded data under operational conditions, Bayesian updating and Kalman filter techniques are applied to improve the reliability of the detection algorithm. The possibility of having one or more faulty sensors is considered, and a decision fusion algorithm based on sub-networks of sensors is proposed to improve the application of the methodology to real structures. A strategy for reliably categorizing impacts into high energy impacts, which are probable to cause damage in the structure (true impacts), and low energy non-damaging impacts (false impacts), has also been proposed to reduce the false alarm rate. The proposed strategy involves employing classification ANNs with different features extracted from captured signals used as inputs. The proposed methodologies are validated by experimental results on a quasi-isotropic composite coupon impacted with a range of impact energies.