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...
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: | |
Online Access: | https://www.mdpi.com/1424-8220/22/15/5653 |
Similar Items
-
Identification of Abnormal Vibration Signal of Subway Track Bed Based on Ultra-Weak FBG Sensing Array Combined with Unsupervised Learning Network
by: Sheng Li, et al.
Published: (2022-05-01) -
Combining SDAE Network with Improved DTW Algorithm for Similarity Measure of Ultra-Weak FBG Vibration Responses in Underground Structures
by: Sheng Li, et al.
Published: (2020-04-01) -
Research on deformation monitoring of surrounding rock based on weak fiber grating sensing technology
by: Yanhe LI, et al.
Published: (2023-06-01) -
Online Condition Monitoring of a Rail Fastening System on High-Speed Railways Based on Wavelet Packet Analysis
by: Jiahong Wei, et al.
Published: (2017-02-01) -
Pretreatment of Ultra-Weak Fiber Bragg Grating Hydrophone Array Based on Cubic Spline Interpolation Using Intensity Compensation
by: Yandong Pang, et al.
Published: (2022-09-01)