評価・診断に関するシンポジウム講演論文集
Online ISSN : 2424-3027
セッションID: 201
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データ分析による回転機器診断技術の開発
*柏瀬 翔一尾崎 健司高倉 啓大島 朋美西 優弥日隈 幸治當房 拓朗
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Condition-based maintenance(CBM) is maintenance performed on the basis of the condition of the equipment. The transition to CBM being considered, it is necessary to make appropriate decision, such as judgment of normality or abnormality. The threshold approach has generally been used for the judgment, but it provides ambiguous decisions due to individual variability of the equipment. Diagnosis using Data Analysis is a promising method to detect variations of the condition of rotating machinery. In this method, it could be possible to make a judgment of the presence or absence of abnormality without criteria. We apply one of Data Analysis methods called “Topological Data Analysis” to vibration diagnosis of a pump as an example, and show that it classifies the exceptional data as abnormality.

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© 2019 一般社団法人 日本機械学会
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