Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A New Experimental Approach Using Image Processing-Based Tracking for an Efficient Fault Diagnosis in Pantograph–Catenary Systems
A new contactless fault diagnosis approach for pantograph-catenary system
Evolution of railway track crack detection system
Fault classification and fault signature production for rolling element bearings in electric machines
An Open-Switch Fault Diagnosis Method for Single-Phase PWM Rectifier Using a Model-Based Approach in High-Speed Railway Electrical Traction Drive System
High-speed railway catenary components detection using the cascaded convolutional neural networks
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Recent advances in fault diagnosis by Park's vector approach
Transmission line fault detection and classification
A Real-Time Visual Inspection System for Discrete Surface Defects of Rail Heads
On-Line Fault Detection Techniques for Technical Systems: A Survey
condition monitoring of railway turnouts and other track components using machine vision trb 11 - 1442 .
Real time detection system for rail surface defects based on machine vision
A new approach to intelligent fault diagnosis of rotating machinery
Automatic Fastener Classification and Defect Detection in Vision-Based Railway Inspection Systems
A Vision-Based Method for Automatic Crack Detection in Railway Sleepers
Supervised diagnosis of induction motor faults: A proposed methodology for an improved performance evaluation
Methods for Probabilistic Fault Diagnosis: An Electrical Power System Case Study
Railway Fastener Inspection by Real-Time Machine Vision
Evaluating & improving fault localization techniques
Fault Current Detection and Dangerous Voltages in DC Urban Rail Traction Systems
Integrated modular avionics for next-generation commercial airplanes
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Simulation of Switched Reluctance Motor and Control Based on MATLAB Environment By
A SELECTIVE LEARNING METHOD TO IMPROVE THE GENERALIZATION OF MULTILAYER FEEDFORWARD NEURAL NETWORKS
A Computational Approach toEdgeDetection