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

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...

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Bibliographic Details
Main Authors: Sheng Li, Liang Jin, Jinpeng Jiang, Honghai Wang, Qiuming Nan, Lizhi Sun
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
feature identification
track fastener looseness
distributed vibration
convolutional autoencoder network
pseudo-Hilbert scan
ultra-weak fiber optic Bragg grating
Online Access:https://www.mdpi.com/1424-8220/22/15/5653

Internet

https://www.mdpi.com/1424-8220/22/15/5653

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