Prototype Selection Method for Vehicle Condition Monitoring using Machine Learning

The authors are developing a condition monitoring system using vibration analysis and machine learning for the purpose of monitoring the condition of railway vehicle equipment. In railway vehicles, vibrations change due to long-term state change, so long-term data should be used for learning. In thi...

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Veröffentlicht in:	Denki Gakkai ronbunshi. D, Sangyō ōyō bumonshi 2019/02/01, Vol.139(2), pp.199-205
1. Verfasser:	Kondo, Minoru
Format:	Artikel
Sprache:	eng ; jpn
Schlagworte:	Artificial intelligence condition monitoring Machine learning Machinery condition monitoring nearest neighbor prototype selection Prototypes railway vehicle Vibration analysis Vibration monitoring
Online-Zugang:	Volltext
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