Few-shot transfer learning with attention for intelligent fault diagnosis of bearing

Author:

Hu Yao,Xiong Qingyu,Zhu Qiwu,Yang Zhengyi,Zhang Zhiyuan,Wu Dan,Wu Zihui

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Reference38 articles.

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2. C. Lessmeier, J. K. Kimotho, D. Zimmer and W. Sextro, Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: a benchmark data set for data-driven classifification, PHM Society European Conference, 3 (1) (2016) 5–8.

3. S. Riaz, H. Elahi, K. Javaid and T. Shahzad, Vibration feature extraction and analysis for fault diagnosis of rotating machinery-a literature survey, Asia Pacific Journal of Multidisciplinary Research, 5 (1) (2017) 103–110.

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