Automating condition monitoring of wooden railway sleepers
نویسنده
چکیده
68 October 2007 EngineerIT This article aims to automate such intuitive human skills for future sleeper inspections. Pattern recognition has been proposed for classification and results from sensors based on the abovementioned methods were fused to generate a single output condition. Final results achieved in this work indicate an overall classification rate of around 88% compared to the human operator.
منابع مشابه
An Experimental and Numerical Study on the Effect of Different Types of Sleepers on Track Lateral Resistance
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