Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Changes in the geological environment and track wear, and deterioration of train bogies may lead to the looseness of subway fasteners. Identifying loose fasteners randomly distributed along the subway line is of great significance to avoid train derailment. This paper presents a convolutional autoen...

Full description

Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 15; p. 5653
Main Authors:	Li, Sheng, Jin, Liang, Jiang, Jinpeng, Wang, Honghai, Nan, Qiuming, Sun, Lizhi
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 28.07.2022 MDPI
Subjects:	convolutional autoencoder network Datasets distributed vibration Experiments Fasteners feature identification Preventive maintenance pseudo-Hilbert scan Railroad accidents & safety track fastener looseness ultra-weak fiber optic Bragg grating
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!