多点分析手法による回転機器構造系異常の検出
英字タイトル:
Study of the capability of detection of structural abnormality in rotating machines with multipoint analysis
著者:
角皆 学 Manabu TSUNOKAI 萱田 良 Ryo KAYATA 高瀬 健太郎 Kentaro TAKASE
発刊日:
公開日:
change detectioncondition monitoringrotating machinesimilarity based modeling
Study of the capability of detection of structural abnormality in rotating machines with multipoint analysis
著者:
角皆 学 Manabu TSUNOKAI 萱田 良 Ryo KAYATA 高瀬 健太郎 Kentaro TAKASE
発刊日:
公開日:
カテゴリ: 第12回
キーワードタグ:change detectioncondition monitoringrotating machinesimilarity based modeling
概要
This work investigates the effective method for detecting structural abnormality such as misalignment or unbalance in rotating machines. Experiments are performed which acquire vibration acceleration data of a horizontal pump under various structural abnormality. In order to detect abnormality comparing to the normal state, feature vector is defined as a set of magnitude of rotational frequency and its harmonics of vibration signal, then change of it is evaluated with SBM (Similarity Based Modeling). With this newly developed method, abnormalities in each conditions were clearly detected and specified. Based on these results this method is considered to be an effective way of detecting and specifying various structural abnormality
