Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor
DC Field | Value | Language |
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dc.contributor.author | Sa, Jaewon | - |
dc.contributor.author | Choi, Younchang | - |
dc.contributor.author | Chung, Yongwha | - |
dc.contributor.author | Kim, Hee-Young | - |
dc.contributor.author | Park, Daihee | - |
dc.contributor.author | Yoon, Sukhan | - |
dc.date.accessioned | 2021-09-03T10:37:33Z | - |
dc.date.available | 2021-09-03T10:37:33Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/84841 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | FAULT-DIAGNOSIS | - |
dc.subject | PROGNOSTICS | - |
dc.title | Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Yongwha | - |
dc.contributor.affiliatedAuthor | Kim, Hee-Young | - |
dc.contributor.affiliatedAuthor | Park, Daihee | - |
dc.identifier.doi | 10.3390/s17020263 | - |
dc.identifier.scopusid | 2-s2.0-85011025156 | - |
dc.identifier.wosid | 000395482700047 | - |
dc.identifier.bibliographicCitation | SENSORS, v.17, no.2 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 2 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | FAULT-DIAGNOSIS | - |
dc.subject.keywordPlus | PROGNOSTICS | - |
dc.subject.keywordAuthor | maintenance engineering | - |
dc.subject.keywordAuthor | railway pointmachine | - |
dc.subject.keywordAuthor | electric current shape analysis | - |
dc.subject.keywordAuthor | replacement condition monitoring | - |
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