The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2021
Session ID : 2P3-A03
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The Condition Monitoring for Pump by Machine Learning
*Kenji NishimuraHiroyuki YAMANAKANobuyoshi TAGUCHI
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Abstract

A breakdown of product machine caused a huge loss due to the stop of production line of semiconductor or FPD. Therefore, failure prediction of a machine is expected to decrease downtime at the factory. In this paper, we are developing the monitoring software to predict the failure of bearings in the pumps with machine learning model. And we reported the method of collecting data for machine learning and evaluation results of the monitoring software.

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© 2021 The Japan Society of Mechanical Engineers
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