The Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH
Online ISSN : 2424-3167
2015
Session ID : 2B11
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2B11 Study on Big Data Analytics of Running Records In Railway Systems (Condition Monitoring-Vehicle)
Shihpin LinKensuke KimotoYoshihiro SudaAtsushi IwamotoTakuya SaitoKenta YanoMasaaki MizunoMasuhisa TanimotoKensuke Nagasawa
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Abstract
Recently, big data analytics has proceeded in various field according to the development of information technology and analysis tools. However, there are few examples of big data analytics in the field of railway mechanical systems, because the vehicle performance are evaluated by motion analysis or experiment under the specific conditions. By contrast, condition monitoring systems are introduced in the railway systems, and these monitoring systems enable the big data to be accumulated during commercial operation. In this paper, the big data of running records in railway systems are analyzed by using naive bayes classifier, one of the method of big data analytics, and individualities of railway vehicles are identified.
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© 2015 The Japan Society of Mechanical Engineers
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