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University of Texas Rio Grande Valley

Geometry

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Full-Text Articles in Engineering

Defect Prognostics Models For Spall Growth In Railroad Bearing Rolling Elements, Nancy De Los Santos, Constantine Tarawneh, Robert E. Jones, Arturo A. Fuentes Jun 2018

Defect Prognostics Models For Spall Growth In Railroad Bearing Rolling Elements, Nancy De Los Santos, Constantine Tarawneh, Robert E. Jones, Arturo A. Fuentes

Mechanical Engineering Faculty Publications and Presentations

Prevention of railroad bearing failures, which may lead to catastrophic derailments, is a central safety concern. Early detection of railway component defects, specifically bearing spalls, will improve overall system reliability by allowing proactive maintenance cycles rather than costly reactive replacement of failing components. A bearing health monitoring system will provide timely detection of flaws. However, absent a well verified model for defect propagation, detection can only be used to trigger an immediate component replacement. The development of such a model requires that the spall growth process be mapped out by accumulating associated signals generated by various size spalls. The addition …


Development Of Prognostic Techniques For Surface Defect Growth In Railroad Bearing Rolling Elements, Nancy De Los Santos, Robert Jones, Constantine Tarawneh, Arturo A. Fuentes, Anthony Villarreal Apr 2017

Development Of Prognostic Techniques For Surface Defect Growth In Railroad Bearing Rolling Elements, Nancy De Los Santos, Robert Jones, Constantine Tarawneh, Arturo A. Fuentes, Anthony Villarreal

Mechanical Engineering Faculty Publications and Presentations

Prevention of bearing failures which may lead to catastrophic derailment is a major safety concern for the railroad industry. Advances in bearing condition monitoring hold the promise of early detection of bearing defects, which will improve system reliability by permitting early replacement of failing components. However, to minimize disruption to operations while providing the maximum level of accident prevention that early detection affords, it will be necessary to understand the defect growth process and try to quantify the growth speed to permit economical, non-disruptive replacement of failing components rather than relying on immediate removal upon detection. The study presented here …