Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering

J Xie, J Huang, C Zeng, SH Jiang, N Podlich - Geosciences, 2020 - mdpi.com
Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance

G Bianchi, C Fanelli, F Freddi… - Advances in …, 2025 - journals.sagepub.com
The efficiency and availability of modern railway infrastructure plays an increasingly
strategic role in the sustainability, development and prosperity of communities and nations …

A review of fault diagnosis methods for key systems of the high-speed train

S Xie, H Tan, C Yang, H Yan - Applied Sciences, 2023 - mdpi.com
High-speed train is a large-scale electromechanical coupling equipment with a complex
structure, where the coupling is interlaced between various system components, and the …

Indirect identification of wheel rail contact forces of an instrumented heavy haul railway vehicle using machine learning

AC Pires, GR Mendes, GFM Santos, APC Dias… - … Systems and Signal …, 2021 - Elsevier
Rail car safety and stability are important factors for good performance. The most used safety
index to quantify railway safety is the ratio between the lateral and vertical wheel rail contact …

Model of queuing in the railway level crossing (case study: Imam Bonjol railway level crossing in Blitar)

H Widyastuti, A Utami, ZM Dzulfiqar - IOP Conference Series …, 2019 - iopscience.iop.org
A high number of accidents in railway level crossing causes loss of life and material.
Furthermore, the losses are also experienced by users of traffic on the highway such as …

Sequential state and unknown parameter estimation strategy and its application to a sensor fusion problem

PV Patil, L Vachhani, S Ravitharan… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Soft-sensing and state-space-based methods play crucial roles in fault-tolerant sensor
fusion schemes. Kalman filtering is one of the most employed sensor fusion methods. In …

Prediction of railway vehicles' dynamic behavior with machine learning algorithms

N Nadarajah, A Shamdani, G Hardie, WK Chiu… - Electronic Journal of …, 2018 - ejsei.com
The dynamic performance of railway vehicles needs to be carefully monitored to ensure their
safe operation. Presently a number of systems such as the Vehicle Track Interaction Monitor …

Relating the influence of track properties to axle load spectra through onboard measurements

M Maglio, E Kabo, A Ekberg - … , Part F: Journal of Rail and …, 2024 - journals.sagepub.com
This work aims at investigating how variations in measured stresses are affected by track
conditions and, if possible, extract information on track conditions from onboard …

Regression Models for Predicting the Size of Railway Track Deviations

AY Vladova, YR Vladov - 2023 16th International Conference …, 2023 - ieeexplore.ieee.org
This study aims to develop a method for predicting the size of deviations beyond standard
values in railway tracks. Despite significant progress made in the predictive maintenance of …

[引用][C] Penentuan Rekomendasi Standar Track Quality Index (TQI) untuk Kereta Semicepat di Indonesia (Studi Kasus: Surabaya-Cepu)

RRA Lubis, H Widyastuti - Jurnal Aplikasi Teknik Sipil, 2020