Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification
المؤلفون المشاركون
Steffen, Valder
Palomino, Lizeth Vargas
Finzi Neto, Roberto Mendes
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Impedance-based structural health monitoring technique is performed by measuring the variation of the electromechanical impedance of the structure caused by the presence of damage.
The impedance signals are collected from patches of piezoelectric material bonded on the surface of the structure (or embedded).
Through these piezoceramic sensor-actuators, the electromechanical impedance, which is directly related to the mechanical impedance of the structure, is obtained.
Based on the variation of the impedance signals, the presence of damage can be detected.
A particular damage metric is used to quantify the damage.
Distinguishing damage groups from a universe containing different types of damage is a major challenge in structural health monitoring.
There are several types of failures that can occur in a given structure, such as cracks, fissures, loss of mechanical components (e.g., rivets), corrosion, and wear.
It is important to characterize each type of damage from the impedance signals considered.
In the present paper, probabilistic neural network and fuzzy cluster analysis methods are used for identification, localization, and classification of two types of damage, namely, cracks and rivet losses.
The results show that probabilistic neural network and fuzzy cluster analysis methods are useful for identification, localization, and classification of these types of damage.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Palomino, Lizeth Vargas& Steffen, Valder& Finzi Neto, Roberto Mendes. 2014. Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification. Shock and Vibration،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1047908
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Palomino, Lizeth Vargas…[et al.]. Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification. Shock and Vibration No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1047908
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Palomino, Lizeth Vargas& Steffen, Valder& Finzi Neto, Roberto Mendes. Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1047908
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1047908
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر