NDLI: Development and testing of an automatic remote condition monitoring system for train wheels

Content Provider	IET Digital Library
Author	Hyde, Paul Defossez, Francois Ulianov, Cristian
Abstract	The safe guidance of railway vehicles is dependent on the contact geometry between the wheel and the rail as defects in the running surface of the wheels can increase the risk of derailments and wheel catastrophic failures, and significantly increase the damage done by the vehicle to the track. An automatic optical based system for detecting wheel defects of rail vehicles passing in service has been developed and tested. The system is described, detailing the process of capturing consistent high resolution and quality images of the wheel tread and flange suitable for processing to detect defects. Tests of the system have been carried out with a wide variety of different rail vehicles, some with defects created artificially on the test wheel to test the image capturing capability of the system and its ability to automatically detect the defects. The prototype system was successfully installed in an operational railway site and captured high-resolution images of the tread and flanges of the entire circumference of rail vehicle wheels as they passed through the system. The system was also shown to be successful at automatically analysing the captured images to detect wheel surface defects.
Starting Page	32
Ending Page	40
Page Count	9
ISSN	1751956X
Volume Number	10
e-ISSN	17519578
Issue Number	Issue 1, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2015.0041
Journal	IET Intelligent Transport Systems
Publisher Date	2016-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Optical Based System Automatic Remote Condition Monitoring System Civil And Mechanical Engineering Computing Computational Geometry Computer Vision And Image Processing Technique Computing in Other Engineering Field Condition Monitoring Contact Geometry Graphics Technique Health And Safety Aspects Image Capturing Capability Image Resolution Increase Derailments Risk Increase Wheel Catastrophic Risk Maintenance And Reliability Mechanical Component Mechanical Engineering Application of IT Mechanical Engineering Computing Mechanical Testing Object Detection Operational Railway Site Optical, Image And Video Signal Processing Rail Vehicle Railway Safety Railway Vehicle Safe Guidance Railways Testing Train Wheels Wheel Defect Detection Wheels
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Vision-based fault inspection of small mechanical components for train safety

Method for automatic railway track surface defect classification and evaluation using a laser-based 3D model

Acoustic signal processing to diagnose transiting electric trains

Automatic Train Control System Development and Simulation for High-Speed Railways

A Fault Diagnosis Approach for Rail Surface Anomalies Using FPGA in Railways

Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic

Wheel Flat Detection in High-Speed Railway Systems Using Fiber Bragg Gratings

Topological manifold-based monitoring method for train-centric virtual coupling control systems

A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring

Development and testing of an automatic remote condition monitoring system for train wheels

Similar Documents

Vision-based fault inspection of small mechanical components for train safety

Method for automatic railway track surface defect classification and evaluation using a laser-based 3D model

Acoustic signal processing to diagnose transiting electric trains

Automatic Train Control System Development and Simulation for High-Speed Railways

A Fault Diagnosis Approach for Rail Surface Anomalies Using FPGA in Railways

Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic

Wheel Flat Detection in High-Speed Railway Systems Using Fiber Bragg Gratings

Topological manifold-based monitoring method for train-centric virtual coupling control systems

A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring

Development and testing of an automatic remote condition monitoring system for train wheels