Predictive Maintenance for Railway Domain: A Systematic Literature Review

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review

(2022) Camilo Laiton-Bonadiez et al.   SENSORS

A literature review of Artificial Intelligence applications in railway systems

(2022) Ruifan Tang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

(2021) Matthew J Page et al.   BMJ-British Medical Journal

A Survey on Data-Driven Predictive Maintenance for the Railway Industry

(2021) Narjes Davari et al.   SENSORS

Unsupervised machine learning techniques to prevent faults in railroad switch machines

(2021) Nielson Soares et al.   International Journal of Critical Infrastructure Protection

Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review

(2021) Joerg Leukel et al.   JOURNAL OF MANUFACTURING SYSTEMS

Complex Fuzzy System Based Predictive Maintenance Approach in Railways

(2020) Mehmet Karakose et al.   IEEE Transactions on Industrial Informatics

Achieving Predictive and Proactive Maintenance for High-Speed Railway Power Equipment With LSTM-RNN

(2020) Qi Wang et al.   IEEE Transactions on Industrial Informatics

An acoustic emission based structural health monitoring approach to damage development in solid railway axles

(2020) Michele Carboni et al.   INTERNATIONAL JOURNAL OF FATIGUE

Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms

(2020) Diego Ferreño et al.   ADVANCES IN ENGINEERING SOFTWARE

IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry

(2020) Abdul-Quayyum Gbadamosi et al.   AUTOMATION IN CONSTRUCTION

Rail breaks arrival rate prediction: A physics-informed data-driven analysis for railway tracks

(2020) Faeze Ghofrani et al.   MEASUREMENT

Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheelset-axlebox assemblies

(2020) Yongliang Bai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Predictive maintenance using tree-based classification techniques: A case of railway switches

(2019) Zaharah Allah Bukhsh et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects

(2019) Reza Mohammadi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Data-driven predictive maintenance scheduling policies for railways

(2019) Pedro Cesar Lopes Gerum et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie

(2019) Linlin Kou et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Novel performance-based technique for predicting maintenance strategy of bitumen stabilised ballast

(2018) Giacomo D'Angelo et al.   CONSTRUCTION AND BUILDING MATERIALS

Wheel Defect Detection With Machine Learning

(2018) Gabriel Krummenacher et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Principal components analysis and track quality index: A machine learning approach

(2018) Ahmed Lasisi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity

(2018) Jinrui Gan et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Automated detection and decomposition of railway tunnels from Mobile Laser Scanning Datasets

(2018) A. Sánchez-Rodríguez et al.   AUTOMATION IN CONSTRUCTION

Approximate Bayesian Computation

(2013) Mikael Sunnåker et al.   PLoS Computational Biology