All Stories

  1. Grinding – good or bad for reduction of rolling contact fatigue– observations from in-service rails with white etching layer
  2. Laser Doppler vibrometers on moving platforms: advancements, challenges, and future opportunities
  3. WaveletInception networks for on-board vibration-based infrastructure health monitoring
  4. Statistical analysis and treatment method of head checks on the Belgian railway network
  5. Monitoring of rail short pitch corrugation using the time-frequency features of both vertical and longitudinal axle box accelerations
  6. Structural Key Performance Indicators for Condition Monitoring of Concrete Bridges Using Artificial Intelligence: A Review
  7. Detection of Rail Surface Defects Based on Axle Box Acceleration Measurements: A Measurement Campaign in Sweden
  8. Condition Monitoring of Railway Transition Zones Using Acceleration Measurements on Multiple Axle Boxes: Case Studies in the Netherlands, Sweden, and Norway
  9. Spiking neural network with time-varying weights for rail squat detection
  10. Bidirectional Long Short-Term Memory Approach for Infrastructure Health Monitoring Using On-Board Vibration Response
  11. Challenges in Smartphone-Based Crowdsensing for Railway Condition Monitoring: Insights into Variability and Track Quality Assessment
  12. Onboard Approximation of Dynamic Load-Response Relationship of Track Structure Using Laser Doppler Vibrometer and Axle Box Accelerometer
  13. Unsupervised Representation Learning for Monitoring Rail Infrastructures With High-Frequency Moving Vibration Sensors
  14. A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones with Multiple Data Sources
  15. Direct Monitoring of In-situ Rail Fastener Vibrations from a Moving Train with Laser Doppler Vibrometer*
  16. Enhanced Vertical Railway Track Quality Index with Dynamic Responses from Moving Trains
  17. Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
  18. Physics-informed machine learning for moving load problems
  19. Measuring transfer functions of track structures in a test rig with laser Doppler vibrometer and accelerometers on a moving vehicle
  20. Neural Oscillators for Generalization of Physics-Informed Machine Learning
  21. Energy use and greenhouse gas emissions of traction alternatives for regional railways
  22. Vertical dynamic measurements of a railway transition zone: a case study in Sweden
  23. Railway sleeper vibration measurement by train‐borne laser Doppler vibrometer and its speed‐dependent characteristics
  24. A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring
  25. Neural Differential Equation-Based Two-Stage Approach for Generalization of Beam Dynamics
  26. Energy model of a fuel cell hybrid-electric regional train in passenger transport service and vehicle-to-grid applications
  27. Rail wear rate on the Belgian railway network – a big-data analysis
  28. INCORPORATING MODAL TESTING INTO DYNAMIC LOAD IDENTIFICATION FROM STRUCTURAL VIBRATION MEASUREMENT
  29. Artificial Intelligence in Railway Infrastructure: Current Research, Challenges, and Future Opportunities
  30. Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile
  31. An Interpretable Method for Operational Modal Analysis in Time-Frequency Representation and Its Applications to Railway Sleepers
  32. Multiple-axle box acceleration measurements at railway transition zones
  33. RailBelgrade 2023 - book of abstracts
  34. A bidding mechanism for maintenance of generation units considering inter-ISO power exchange
  35. A Tractable Failure Probability Prediction Model for Predictive Maintenance Scheduling of Large-Scale Modular-Multilevel-Converters
  36. Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
  37. A Simulation Study on Characterizing Transfer Functions of Railway Tracks Using Train-Borne Laser Doppler Vibrometer
  38. Mechanism of short pitch rail corrugation: initial excitation and frequency selection for consistent initiation and growth
  39. Predicting traction return current in electric railway systems through physics-informed neural networks
  40. Accelerated optimal maintenance scheduling for generation units on a truthful platform
  41. Speckle noise reduction for structural vibration measurement with laser Doppler vibrometer on moving platform
  42. Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains
  43. A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects
  44. Real-Time UAV Routing Strategy for Monitoring and Inspection for Postdisaster Restoration of Distribution Networks
  45. Vibration modes and wave propagation of the rail under fastening constraint
  46. Wheel-rail rolling contact behavior induced by both rail surface irregularity and sleeper hanging defects on a high-speed railway line
  47. Reducing fuel consumption and related emissions through optimal sizing of energy storage systems for diesel-electric trains
  48. Multimodal dispersive waves in a free rail: Numerical modeling and experimental investigation
  49. High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data
  50. A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization
  51. Action-driven Reinforcement Learning for Improving Localization of Brace Sleeve in Railway Catenary
  52. Special issue of Wear on Contact Mechanics 2018
  53. Multi-criteria evaluation of wheel/rail degradation at railway crossings
  54. Unified Deep Learning Architecture for the Detection of All Catenary Support Components
  55. Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways
  56. A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries
  57. Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control
  58. Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring
  59. Integrated condition-based track maintenance planning and crew scheduling of railway networks
  60. Pareto-based modulated model predictive control strategy for power converter applications
  61. Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration
  62. A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries
  63. Distributed Chance-Constrained Model Predictive Control for Condition-Based Maintenance Planning for Railway Infrastructures
  64. Distributed Optimization for Railway Track Maintenance Operations Planning
  65. An Integrated Approach for Characterizing the Dynamic Behavior of the Wheel–Rail Interaction at Crossings
  66. Prediction Interval Methodology Based on Fuzzy Numbers and its Extension to Fuzzy Systems and Neural Networks
  67. A decision support approach for condition-based maintenance of rails based on big data analysis
  68. Method for evaluating the performance of railway crossing rails after long-term service
  69. A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization
  70. Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network
  71. Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections
  72. Decision support tool based on multi-source data analysis for the tram wheel-rail interface
  73. Multi-Objective Performance Evaluation of the Detection of Catenary Support Components Using DCNNs
  74. Analysis of the evolvement of contact wire wear irregularity in railway catenary based on historical data
  75. Multi-level condition-based maintenance planning for railway infrastructures – A scenario-based chance-constrained approach
  76. Evaluating Degradation at Railway Crossings Using Axle Box Acceleration Measurements
  77. Robust and Predictive Fuzzy Key Performance Indicators for Condition-Based Treatment of Squats in Railway Infrastructures
  78. New Insights into the Short Pitch Corrugation Enigma Based on 3D-FE Coupled Dynamic Vehicle-Track Modeling of Frictional Rolling Contact
  79. Identification of Distributed-Parameter Systems from Sparse Measurements
  80. A Big Data Analysis Approach for Rail Failure Risk Assessment
  81. Identification of the catenary structure wavelength using pantograph head acceleration measurements
  82. Sensitivity Analysis of Railpad Parameters on Vertical Railway Track Dynamics
  83. Load Estimation for Microgrid Planning based on a Self-Organizing Map Methodology
  84. Model Predictive Control for rail condition-based maintenance: A multilevel approach
  85. Ensemble EMD-Based Automatic Extraction of the Catenary Structure Wavelength From the Pantograph–Catenary Contact Force
  86. Model-based predictive control for bicycling in urban intersections
  87. Health condition monitoring of insulated joints based on axle box acceleration measurements
  88. Dynamic simulator and model predictive control of an integrated solar combined cycle plant
  89. Microgrid planning based on fuzzy interval models of renewable resources
  90. Deep convolutional neural networks for detection of rail surface defects
  91. Monitoring bolt tightness of rail joints using axle box acceleration measurements
  92. Robust receding horizon parameterized control for multi-class freeway networks: A tractable scenario-based approach
  93. Probabilistic Defect-Based Risk Assessment Approach for Rail Failures in Railway Infrastructure
  94. Semi-supervised Rail Defect Detection from Imbalanced Image Data
  95. Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids
  96. Customer-Oriented Optimal Vehicle Assignment in Mobility-on-Demand Systems
  97. Experimental Investigation Into the Condition of Insulated Rail Joints by Impact Excitation
  98. Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure
  99. A Methodology Based on Evolutionary Algorithms to Solve a Dynamic Pickup and Delivery Problem Under a Hybrid Predictive Control Approach
  100. Fuzzy Maintenance Decision Support for Treating Squats in Railway Infrastructures
  101. Automatic Detection of Corrugation: Preliminary Results in the Dutch Network Using Axle Box Acceleration Measurements
  102. Model Predictive Control for Maintenance Operations Planning of Railway Infrastructures
  103. Time-Varying Scheme for Noncentralized Model Predictive Control of Large-Scale Systems
  104. Congestion Management in Motorways and Urban Networks Through a Bargaining-Game-Based Coordination Mechanism
  105. Multiobjective model predictive control for dynamic pickup and delivery problems
  106. Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study
  107. Tractable robust predictive control approaches for freeway networks
  108. Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands
  109. Automatic Detection of Squats in Railway Infrastructure
  110. Hybrid model predictive control for freeway traffic using discrete speed limit signals
  111. Validation of a finite element model for axle box acceleration at squats in the high frequency range
  112. Fuzzy Predictive Control Strategy for a Distributed Solar Collector Plant
  113. Hybrid-fuzzy modeling and identification
  114. Parametric study of axle box acceleration at squats
  115. Monitoring the railway infrastructure: Detection of surface defects using wavelets
  116. Hybrid Predictive Control for Dynamic Transport Problems
  117. A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley
  118. Distributed identification of fuzzy confidence intervals for traffic measurements
  119. Comparison of fixed speed wind turbines models: A case study
  120. Identification of distributed-parameter systems with missing data
  121. Conclusions
  122. Introduction
  123. Hybrid Predictive Control: Mono-objective and Multi-objective Design
  124. Hybrid Predictive Control for Operational Decisions in Public Transport Systems
  125. Hybrid Predictive Control for a Dial-a-Ride System
  126. Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks
  127. Hybrid predictive control strategy for a public transport system with uncertain demand
  128. Non-Linear Model Predictive Control Based on Game Theory for Traffic Control on Highways
  129. Observers for linear distributed-parameter systems: A survey
  130. Decentralized Kalman filter comparison for distributed-parameter systems: A case study for a 1D heat conduction process
  131. A new method for hybrid-fuzzy identification*
  132. Hybrid predictive control for real-time optimization of public transport systems’ operations based on evolutionary multi-objective optimization
  133. Hierarchical multiobjective model predictive control applied to a dynamic pickup and delivery problem
  134. Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy
  135. Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem
  136. Fuzzy-model-based hybrid predictive control
  137. Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor
  138. Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering
  139. Hybrid Predictive Control for the Vehicle Dynamic Routing Problem based on Evolutionary Multiobjective Optimization (EMO)
  140. Hybrid adaptive predictive control for a dynamic pickup and delivery problem including traffic congestion
  141. Hybrid Predictive Control based on Fuzzy Model
  142. Key Performance Indicators using Robust Prediction Modelling to consider Squats in Railway Infrastructure
  143. An Expensive Optimization based Computational Intelligence Method for Railway Track Parameter Identification
  144. Automated Monitoring System for Insulated Joints: Preliminary Results using Axle Box Acceleration Measurements