A Research Outlook of Emerging Technologies in Structural Health Monitoring
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 209
فایل این مقاله در 15 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICSAU07_0344
تاریخ نمایه سازی: 21 دی 1400
چکیده مقاله:
Structural damage detection is crucial for safe operation. This process is labour intensive,time consuming and costly. To overcome these limitations, it is necessary to provide a reliable, quantitative and low-cost scheme in order to evaluate the structural condition. In this direction, the emerging information technologies and applications such as non-contact measurement devices, internet of things, data mining and artificial intelligence algorithms have recently attracted significant industrial and academic interest to allow smart nondestructive evaluation of civil structures. This paper attempts to present the development of these technologies in structural health monitoring (SHM). To do so, a brief background of these platforms is discussed in this paper. Then, their applications in SHM are presented with the aim of showing the efficiency of these methods.
کلیدواژه ها:
Smart Structural Health Monitoring ، Internet of Things (IoT) ، Data Mining ، Internet of Drone (IoD) ، Big Data ، Unmanned Aerial Vehicle (UAV)
نویسندگان
Meisam Gordan
Department of Civil Engineering, University of Malaya, ۵۰۶۰۳ Kuala Lumpur, Malaysia
Zubaidah Ismail
Department of Civil Engineering, University of Malaya, ۵۰۶۰۳ Kuala Lumpur, Malaysia
Khaled Ghaedi
Center of Research & Development, PASOFAL Engineering, ۵۲۲۰۰ Kuala Lumpur, Malaysia
Marieh Talebkhah
Department of Computer and Communication Systems Engineering, University Putra Malaysia, ۴۳۴۰۰, Malaysia
Zainah Ibrahim
Department of Civil Engineering, University of Malaya, ۵۰۶۰۳ Kuala Lumpur, Malaysia
Huzaifa Hashim
Department of Civil Engineering, University of Malaya, ۵۰۶۰۳ Kuala Lumpur, Malaysia