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Statistical Performance Analysis of Axle Counter Failure


Affiliations
1 Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, India
2 Department of Mechanical Engineering, Asansol engineering College, Asansol-713305, India
3 Department of Instrumentation Science, Jadavpur University, Kolkata-700032, India
     

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Axle counter, which is an integral part of signaling systems, plays an important role to control the train movement. This paper aims to analyze its performance on the basis of its failure incidents. In this context, failure data points of axle counter from a station of Kolkata metro railway has been collected for a period of 15 months. The overall equipment effectiveness (OEE) based on availability, performance and quality has been calculated for each of these 15 months. It is observed that mean of OEE is around 75% and variation is 10% approximately.
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  • Statistical Performance Analysis of Axle Counter Failure

Abstract Views: 573  |  PDF Views: 3

Authors

S. Mondal
Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, India
S. Sau
Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, India
S. C. Panja
Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, India
D. Sarkar
Department of Mechanical Engineering, Asansol engineering College, Asansol-713305, India
S. N. Patra
Department of Instrumentation Science, Jadavpur University, Kolkata-700032, India

Abstract


Axle counter, which is an integral part of signaling systems, plays an important role to control the train movement. This paper aims to analyze its performance on the basis of its failure incidents. In this context, failure data points of axle counter from a station of Kolkata metro railway has been collected for a period of 15 months. The overall equipment effectiveness (OEE) based on availability, performance and quality has been calculated for each of these 15 months. It is observed that mean of OEE is around 75% and variation is 10% approximately.

References





DOI: https://doi.org/10.24906/isc%2F2019%2Fv33%2Fi2%2F183893