Fault Diagnosis of Rolling Bearings Based on SVM and Improved D-S Evidence Theory for Multi-sensor Fusion

Author:

Li Xiang,Wu Jingbing,Xia Yuan,Luo Wei,Lu Hong,Zhang Wei,Lei Zhen,Li Zhangjie

Publisher

Springer Nature Singapore

Reference13 articles.

1. Zhang, G., Tian, F., Liang, W., et al.: Rolling bearing fault diagnosis based on improved D-S evidence theory. J. Nav. Univ. Eng. 31(4), 42–47 (2019)

2. Yang, Y., Cui, Q., Zhao, Q.: A fault diagnosis method based on evidence fusion. J. Beijing Univ. Chem. Technol. 45(2), 77–81 (2018)

3. Liu, X.L., Chen, G., Li, F., et al.: Research and application of fault diagnosis method based on improved evidence theory. J. Vibrat. Shock 32(18), 54–58 (2013)

4. Wang, X., Di, P., Yin, D.: Conflict evidence fusion method based on Lance distance and credibility entropy. Syst. Eng. Electron. Technol. 44(2), 592–602 (2022)

5. Guan, X., Yi, X., Sun, X., et al.: Fusion method for effective handling of conflict evidence. J. Tsinghua Univ. 49(1), 138–141 (2009)

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