Identification of abnormal vibration signal of subway track bed based on ultra-weak fbg sensing array combined with unsupervised learning network
The performance of the passing train and the structural state of the track bed are the
concerns regarding the safe operation of subways. Monitoring the vibration response of the …
concerns regarding the safe operation of subways. Monitoring the vibration response of the …
A novel data augmentation method for improving the accuracy of insulator health diagnosis
Z Li, Y Song, R Li, S Gu, X Fan - Sensors, 2022 - mdpi.com
Performing ultrasonic nondestructive testing experiments on insulators and then using
machine learning algorithms to classify and identify the signals is an important way to …
machine learning algorithms to classify and identify the signals is an important way to …
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 …
may lead to the looseness of subway fasteners. Identifying loose fasteners randomly …
A Double FBGs Temperature Self-Compensating Displacement Sensor and Its Application in Subway Monitoring
H Li, G Xu, X Gui, L Liang - Materials, 2022 - mdpi.com
In order to ensure the effective vibration–reduction and vibration–isolation of the steel spring
floating plate rail and meet the safe operation requirements of the subway, a Fiber Bragg …
floating plate rail and meet the safe operation requirements of the subway, a Fiber Bragg …
Research on Contactless Identification and Evaluation of Unarmed Fitness Activity
C Li - Scientific Programming, 2022 - Wiley Online Library
For low accuracy in the recognition and evaluation of unarmed fitness activities, analyzing
the impact of the diversity of the execution speed of unarmed fitness activities on the …
the impact of the diversity of the execution speed of unarmed fitness activities on the …
Invisible track bed defect classification method based on distributed optical fiber sensing system and FFT Attention Transformer model
J Chen, K Lin, L Hu, P Zhang, L Liu, J Pan… - Optical …, 2024 - spiedigitallibrary.org
An invisible track bed defect classification method based on distributed optical fiber sensing
data acquisition and an attention Transformer model mechanism under the frequency …
data acquisition and an attention Transformer model mechanism under the frequency …
Improved SVD-SSDA on Spark for real-time subway train tracking based on ultra-weak FBG arrays
F Liu, Y Xie, B Xu, Y Lei… - Advanced Sensor Systems …, 2022 - spiedigitallibrary.org
Tracking and ensuring the safety of trains is an important issue in subway operation
management. Under the long-distance monitoring requirements, extracting features in real …
management. Under the long-distance monitoring requirements, extracting features in real …