Código QR (código de barras bidimensional)

An LSTM Autoencoder-Based Approach for Monitoring Railway Bridges

Continuous monitoring of railway bridges is essential for ensuring safety and operational reliability, considering aging mechanisms, rising traffic, and elevated speeds of railway vehicles. Frequently, traditional vibration-based approaches, including modal identification and data-driven diagnostic...

ver descrição completa

Na minha lista:
Principais autores: Viviana Giorgi, Ciro Tordela, Lorenzo Bernardini, Pablo Alex Ramírez Balbiano, Claudio Somaschini, Salvatore Strano, Mario Terzo
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-04-01
coleção:Applied Sciences
Assuntos:
structural health monitoring
anomaly detection
long short-term memory
autoencoder
unsupervised learning
train–bridge interaction
Acesso em linha:https://www.mdpi.com/2076-3417/16/9/4272
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados