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On the Development of a Predictive Rail Maintenance Planning Methodology Utilizing Parametric Weibull Prediction Methods
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2020-09-01
[PDF-6.62 MB]
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Corporate Contributors:University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability. USDOT Tier 1 ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Abstract:The railroad industry has used for the past 50 years the 2-Parameter Weibull equation to determine the rate of rail fatigue defect occurrences and to forecast the fatigue life of railroad rail. With the advent of more powerful computers, more frequent data collection and new techniques to analyze data, a new field of data analysis has been created, Data Analytics, sometimes referred to as “Big Data”. This report makes use of this new area of Data Analytics to develop and implement an improved rail defect forecasting approach building upon the traditional Weibull equation to overcome many of its limitations and problems.
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