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Sensors 2017, 17(2), 263; doi:10.3390/s17020263

Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor

1
Department of Computer and Information Science, Korea University, Sejong 30019, Korea
2
Department of Applied Statistics, Korea University, Sejong 30019, Korea
3
Sehwa R&D Center, Techno 2-ro, Yuseong-gu, Daejeon 34026, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Received: 16 November 2016 / Revised: 18 January 2017 / Accepted: 23 January 2017 / Published: 29 January 2017
(This article belongs to the Special Issue Sensors for Transportation)
View Full-Text   |   Download PDF [3291 KB, uploaded 13 February 2017]   |  

Abstract

Detecting replacement conditions of railway point machines is important to simultaneously satisfy the budget-limit and train-safety requirements. In this study, we consider classification of the subtle differences in the aging effect—using electric current shape analysis—for the purpose of replacement condition detection of railway point machines. After analyzing the shapes of after-replacement data and then labeling the shapes of each before-replacement data, we can derive the criteria that can handle the subtle differences between “does-not-need-to-be-replaced” and “needs-to-be-replaced” shapes. On the basis of the experimental results with in-field replacement data, we confirmed that the proposed method could detect the replacement conditions with acceptable accuracy, as well as provide visual interpretability of the criteria used for the time-series classification. View Full-Text
Keywords: maintenance engineering; railway point machine; electric current shape analysis; replacement condition monitoring maintenance engineering; railway point machine; electric current shape analysis; replacement condition monitoring
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MDPI and ACS Style

Sa, J.; Choi, Y.; Chung, Y.; Kim, H.-Y.; Park, D.; Yoon, S. Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor. Sensors 2017, 17, 263.

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