Synchronous Monitoring and Assessment of Metro Vehicle Interior Vibration and Noise Based on Onboard MEMS Sensing System

With the rapid development of urban rail transit, the deterioration of rail infrastructure, as well as its resulting noise and vibration problem, has become a major concern in operation. This study proposes an onboard vibration and noise measurement and assessment based on MEMS sensors. First, the onboard MEMS sensors are utilized to synchronously collect massive vibration and noise data in multiple carriages. Then, vibration and noise data are used to assess ride comfort and noise level. To better reveal the factors behind the carbody vibration and noise, mileage positioning is conducted based on the carbody longitudinal acceleration. Time-frequency analysis is then performed on the noise data to extract the defect features, whereby the mapping relationship between defect and noise is investigated. Finally, a platform is built to visualize the data analysis results to realize the health management of the subway line.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.130
Citations
1
Primary Topic
Transport Systems and Technology
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synchronous Monitoring and Assessment of Metro Vehicle Interior Vibration and Noise Based on Onboard MEMS Sensing System

Xiaozhou Liu, Y.‐Y. Lian, Qiao Lin, Yuan Wang
1 citations
Transport Systems and Technology
0.21
article

Synchronous Monitoring and Assessment of Metro Vehicle Interior Vibration and Noise Based on Onboard MEMS Sensing System

Xiaozhou Liu, Y.‐Y. Lian, Qiao Lin, Yuan Wang
article en
1 citations

Abstract

With the rapid development of urban rail transit, the deterioration of rail infrastructure, as well as its resulting noise and vibration problem, has become a major concern in operation. This study proposes an onboard vibration and noise measurement and assessment based on MEMS sensors. First, the onboard MEMS sensors are utilized to synchronously collect massive vibration and noise data in multiple carriages. Then, vibration and noise data are used to assess ride comfort and noise level. To better reveal the factors behind the carbody vibration and noise, mileage positioning is conducted based on the carbody longitudinal acceleration. Time-frequency analysis is then performed on the noise data to extract the defect features, whereby the mapping relationship between defect and noise is investigated. Finally, a platform is built to visualize the data analysis results to realize the health management of the subway line.

EA Technology (GB), Shenzhen Technology University (CN)
Openalex Percentile: Top 49%
Transport Systems and Technology
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Synchronous Monitoring and Assessment of Metro Vehicle Interior Vibration and Noise Based on Onboard MEMS Sensing System — Xiaozhou Liu, Y.‐Y. Lian, et al. · (2024) | TGRS Research Map | TGRS