書誌事項
- タイトル別名
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- Application of Deep Learning in Rolling Bearing Fault Diagnostics
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説明
<p> This paper presents a diagnostic method for rolling bearings using deep learning instead of conventional rule-based diagnostic methods which requires human and time costs. However, deep learning has two major problems. One is difficulty in acquiring large amount of data under the operation with damaged rolling bearings for training, and the other is difficulty in interpreting the diagnostic results. As a solution to these problems, this paper introduces transfer learning and a method to visualize the input data points contributing to the diagnostic results.</p>
収録刊行物
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- 日本AEM学会誌
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日本AEM学会誌 31 (1), 30-33, 2023
日本AEM学会
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詳細情報 詳細情報について
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- CRID
- 1390858529773951744
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- ISSN
- 21879257
- 09194452
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可