NRG Systems总工程师Eric Bechhoefer博士代表MFPT组装和准备数据。
- 数据链接：(https://mfpt.org/fault-data-sets/)
- 声学和振动数据库链接(http://data-acoustics.com/measurements/bearing-faults/bearing-2/)
- MATLAB 文档关于MFPT轴承数据的故障诊断举例。 连接(https://ww2.mathworks.cn/help/predmaint/examples/Rolling-Element-Bearing-Fault-Diagnosis.html) 使用该数据集的相比于CWRU少一些。于2012年更新。
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Lee D, Siu V, Cruz R, et al. Convolutional neural net and bearing fault analysis[C]//Proceedings of the International Conference on Data Mining (DMIN). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2016: 194.论文链接
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Lessmeier C, Kimotho J K, Zimmer D, et al. Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification[C]//Proceedings of the European conference of the prognostics and health management society. 2016: 05-08.07.论文链接
利用电机电流信号监测机电传动系统轴承损坏情况:数据驱动分类的基准数据集
对CWRU: Bearing Data Center/ Seeded Fault Test Data，FEMTO Bearing Data Set，MFPT Fault Data Sets，Bearing Data Set IMS四个数据集进行了分析和介绍。 -
Verstraete D, Ferrada A, Droguett E L, et al. Deep learning enabled fault diagnosis using time-frequency image analysis of rolling element bearings[J]. Shock and Vibration, 2017, 2017.论文链接 通过对滚动轴承的时频图像分析深度学习实现了故障诊断
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Yu H, Wang K, Li Y. Multiscale Representations Fusion With Joint Multiple Reconstructions Autoencoder for Intelligent Fault Diagnosis[J]. IEEE Signal Processing Letters, 2018, 25(12): 1880-1884.论文链接
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Sobie C, Freitas C, Nicolai M. Simulation-driven machine learning: Bearing fault classification[J]. Mechanical Systems and Signal Processing, 2018, 99: 403-419. 论文链接
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Li H, Zhao J, Liu J, et al. Application of empirical mode decomposition and Euclidean distance technique for feature selection and fault diagnosis of planetary gearbox[J]. Journal of Vibroengineering, 2016, 18(8).论文链接
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Barbini L, Ompusunggu A P, Hillis A J, et al. Phase editing as a signal pre-processing step for automated bearing fault detection[J]. Mechanical Systems and Signal Processing, 2017, 91: 407-421.论文链接