書誌事項
- タイトル別名
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- Abnormal Bearing Detection for Traction Motors Using Vibration Octave Band Spectra
抄録
<p>We are developing condition monitoring methods aiming at preventing malfunctions of traction motor bearings during operation and extending the maintenance cycle. In order to verify an abnormality detection method combining vibration octave band analysis and machine learning, a rotation test was carried out by incorporating an artificial defect bearing in a traction motor. As a result, it was shown that abnormality was detected in high frequency vibration of 1 kHz or more. It was also shown that an abnormality of the output side bearing was detected by a vibration sensor attached to the counter output side.</p>
収録刊行物
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- Dynamics & Design Conference
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Dynamics & Design Conference 2018 (0), 602-, 2018
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390564238077608832
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- NII論文ID
- 130007604270
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- ISSN
- 24242993
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可