Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture

IF 3.5 2区工程技术 Q1 ENGINEERING, MECHANICAL

Vehicle System Dynamics Pub Date : 2024-07-09 DOI:10.1080/00423114.2024.2375031

Baoquan Wang, Yan Zeng, Dongming Feng, Jian-an Li

引用次数: 0

Abstract

A comprehensive methodology is presented for the estimation of track vertical irregularities of railway bridges from vehicle responses, based on a novel and lightweight multi-layer-perceptron (MLP)...

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使用新型轻量级深度学习架构估算铁路桥梁的轨道垂直不规则度

本文提出了一种从车辆响应估算铁路桥梁轨道垂直不规则度的综合方法，该方法基于一种新颖轻巧的多层感知器（MLP）...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Vehicle System Dynamics 工程技术-工程：机械

CiteScore

8.40

自引率

13.90%

发文量

110

审稿时长

3 months

期刊介绍： Vehicle System Dynamics is an international journal, providing a source of information for the vehicle engineer and the applied scientist. The journal emphasizes the theoretical background of research and development problems of all kinds of road, rail and other ground-based vehicles. Main topics are: Dynamics of vehicle systems and their components including suspension, steering, braking, chassis systems, noise-vibration-harshness, power train; Control of motion and forces affecting vehicle behaviour; Computer aided modelling and simulation, validation, parameter identification and testing, driver modelling; Vehicle interactions with the environment including wheel-rail and tyre-ground behaviour; Active Safety Systems including collision and derailment warning, avoidance and mitigation; Intelligent vehicles, guided vehicles, automated traffic systems related to vehicle dynamics, unconventional vehicles.