A Study on Necessity to Introduce Prognostic Maintenance of Rolling Stock

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 14, 2017
Ju-Won Kim Chan-Hoi An Seong-Hee Lee Jung-Hwa Han

Abstract

The easiest way to prevent the railway vehicle failure is to heavily invest money and labor into maintenance and advance the vehicle replacement and maintenance cycles. However, the actual operational maintenance resources (cost and time) are limited, making it difficult to predict when and where sudden failures would occur. Therefore, many studies have examined how to build an effective maintenance system that can minimize failures based on limited resource availability. In this paper, I will examine the necessity of predictive maintenance and research trends.

Abstract 51 | PDF Downloads 88

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
Korea Railroad Corporation (2014). Proposal for Developing Technologies on Diagnosis and PHM on Core Components of Rolling Stock.
Kim, Y. S., (2012). Method of Implementing Condition Based Maintenance (CBM) of Equipment.
Choi, J. H., (2015). Introduction to PHM Technologies for Improving Efficiency in Railway Operations and Maintenance.
EU (2008). concerning a technical specification for interoperability relating to the ‘rolling stock’ sub-system of the trans-European high-speed rail system.
SKF (2010). SKF Axletronic Sensors for the Railway Industry.
Korea Railroad Corporation (2013). Rolling Stock Maintenance Rule Article 6, section 1, (2013-046).
Choi, J. H., (2013). Introduction to PHM(Prognostic and Health Management) Technologies, Journal of the KSME, The Korean Society of Mechanical Engineers, vol. 53(7), pp. 24-34.
Section
Special Session Papers