Rail wheel tread defect detection using improved YOLOv3

Z Xing, Z Zhang, X Yao, Y Qin, L Jia - Measurement, 2022 - Elsevier
The rail wheel is the key device of the rail vehicle. When the vehicle running conditions
worsen or emergency braking, the rail train will have severe sliding friction and collision on …

Dynamics and Fault Diagnosis of Railway Vehicle Gearboxes: A Review

L Zhao, Y Chen - Journal of Dynamics, Monitoring and …, 2024 - ojs.istp-press.com
The railway vehicle gearbox is an important part of the railway vehicle traction transmission
system which ensures the smooth running of railway vehicles. However, as the running …

[HTML][HTML] An Optimal Spatio-Temporal Hybrid Model Based on Wavelet Transform for Early Fault Detection

J Xing, F Li, X Ma, Q Qin - Sensors, 2024 - mdpi.com
An optimal spatio-temporal hybrid model (STHM) based on wavelet transform (WT) is
proposed to improve the sensitivity and accuracy of detecting slowly evolving faults that …

Time series fragmental variation trend anomaly detection method based on a temporal sequential modeling approach

Y Wang, S Meng, Y Song, D Liu - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Time series fragmentation anomalies are a common phenomenon that occurs when
industrial systems undergo state transitions, such as the degradation of energy systems and …

A Data-Driven scheme for fault detection of discrete-time switched systems

H Zhao, H Luo, Y Wu - Sensors, 2021 - mdpi.com
This paper is concerned with the fault detection issue for a class of discrete-time switched
systems via the data-driven approach. For the fault detection of switched systems, it is …

[图书][B] Advances in fault detection and diagnosis using filtering analysis

Z Wang, Y Wang, Z Ji - 2022 - Springer
With the further development of industrialization, the scale of electric power [1], chemical
industry [2], machinery [3] and other industries has been expanding, and the system …

Fault Diagnosis Methods for Running Gears of Urban Rail Trains

W Ye, M Wu, L Wu - … on Sensing, Measurement & Data Analytics …, 2022 - ieeexplore.ieee.org
Accurate diagnosis and real-time state assessment of the running gear in the early stage of
a defect are essential for predicting and managing the health condition of urban rail trains …

[PDF][PDF] Dynamic Latent Structured Data Analytics for Process Modeling and Monitoring

B Xu - 2023 - uwspace.uwaterloo.ca
With the advent of Industry 4.0, variable relations in modern industrial processes are
increasingly complex due to their high dimensions and complex auto-correlations and …

Latent Variable Modeling with Slowness, Monotonicity, and Impulsivity Features

RRK Chiplunkar - 2022 - era.library.ualberta.ca
Data-driven modeling has been finding increasing prominence in process systems
engineering in both academia and industries. Latent variable modeling forms an important …