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This paper proposed an explorative scaling approach to predict the fitness of OHE provided on railway cross-over tracks whether the state is strayed or normal in order to allow the train to cross from one track to other in electrified section. An explorative scale is defined to assess the given maintenance log report of a cross over is indicating any obstacle or not. In order to define this scale, the model depends on the previous log reports that are labeled as true or false towards the cross over staidness, which is done according to the observed functional obstacles. The experiments were done on the real time data collected from Secundrabad division of South Central Railway, India. The labeled data is used in the ratio of 70, 30 for scale definition and performance analysis respectively.
Ch Srihari Varma. 2016. \u201cHeuristic Scales to Strayed Proneness (HSSP): Assessing the Strayed Proneness of Cross-Over OHE on Railway Tracks\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 16 (GJRE Volume 16 Issue J3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 103
Country: India
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Ch Srihari Varma, T Rama Subba Reddy, Ch SaiBabu (PhD/Dr. count: 0)
View Count (all-time): 190
Total Views (Real + Logic): 3716
Total Downloads (simulated): 1887
Publish Date: 2016 09, Fri
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This paper proposed an explorative scaling approach to predict the fitness of OHE provided on railway cross-over tracks whether the state is strayed or normal in order to allow the train to cross from one track to other in electrified section. An explorative scale is defined to assess the given maintenance log report of a cross over is indicating any obstacle or not. In order to define this scale, the model depends on the previous log reports that are labeled as true or false towards the cross over staidness, which is done according to the observed functional obstacles. The experiments were done on the real time data collected from Secundrabad division of South Central Railway, India. The labeled data is used in the ratio of 70, 30 for scale definition and performance analysis respectively.
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