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Paper 293

Comparative Assessment of Manual and Automated Railway Wheels Inspection Means for Fault Detection

L. Ibarra¹, M.G. Lipsett¹ and M. T. Hendry²

¹Department of Mechanical Engineering, University of Alberta, Edmonton, Canada
²Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada

doi:10.4203/ccp.104.293

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L. Ibarra, M.G. Lipsett, M. T. Hendry, "Comparative Assessment of Manual and Automated Railway Wheels Inspection Means for Fault Detection", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 293, 2014. doi:10.4203/ccp.104.293

Keywords: railway wheels, defect detection, data driven analysis, condition monitoring, inspection.

Summary

This paper presents a data-driven framework, using both quantitative and qualitative methods, to assess wheel defect detection and identification; and to compare the fault classification accuracy of different techniques using statistical equivalence testing, based on operating and maintenance history. The method is based on the appraisal of the capabilities of current railway wheel inspection approaches.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 293 Comparative Assessment of Manual and Automated Railway Wheels Inspection Means for Fault Detection L. Ibarra¹, M.G. Lipsett¹ and M. T. Hendry² ¹Department of Mechanical Engineering, University of Alberta, Edmonton, Canada ²Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada doi:10.4203/ccp.104.293 purchase the full-text of this paper Full Bibliographic Reference for this paper L. Ibarra, M.G. Lipsett, M. T. Hendry, "Comparative Assessment of Manual and Automated Railway Wheels Inspection Means for Fault Detection", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 293, 2014. doi:10.4203/ccp.104.293 Keywords: railway wheels, defect detection, data driven analysis, condition monitoring, inspection. Summary This paper presents a data-driven framework, using both quantitative and qualitative methods, to assess wheel defect detection and identification; and to compare the fault classification accuracy of different techniques using statistical equivalence testing, based on operating and maintenance history. The method is based on the appraisal of the capabilities of current railway wheel inspection approaches. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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