Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing

Railway infrastructure plays a vital role in modern transportation systems, facilitating the efficient movement of people and goods. However, the integrity and performance of railroad structures are subject to various external forces and aging processes, which necessitate continuous monitoring to en...

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Vydané v:	2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) s. 274 - 281
Hlavní autori:	Rahman, Md Arifur, Taheri, Hossein, Kim, Jongyeop
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.07.2023
Predmet:	Acoustics DAS Deep learning Distributed databases HTL HTL Fiber LSTM Predictive models railroad health railroad monitoring Sensors Structural Health Monitoring Time division multiplexing Transportation
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