Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory-Reference-Cited by-同舟云学术

Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory

Published:2020 Issue: Volume: Page:379-387
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Gao Xiue,Chen Bo,Chen Shifeng,Wang Kesheng,Wang Yi,Xie Wenxue,Yuan Jin,Martinsen Kristian,Ghosh Tamal

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2341-0_47

Reference12 articles.

1. Huang, D., Chen, C., Zhao, L., Sun, G., Ke, L.: Hybrid collaborative diagnosis method for rolling bearing composite faults. J. Univ. Electron. Sci. Technol. China, 2–18, 47(6), 853–863

2. Ge, J., Liu, Q., Wang, Y., Xu, D., Wei, F.: Gearbox fault diagnosis method supporting the combination of tensor and KNN-AMDM decision. J. Vib. Eng. 31(6), 1093–1101 (2018)

3. Gai, W., Xin, D., Wang, W., Liu, X., Hu, J.: A review of data fusion and decision making methods in situational awareness 40(5), 21–25 (2019)

4. Yager, R.R.: Belief structures, weight generating functions and decision-making. Fuzzy Optim. Decis. Mak. 16(1), 1–21 (2016)

5. Tajeddini, M.A., Aalipour, A., Safarinejadian, B.: Fusion method for bearing faults classification based on wavelet denoising and dempster-shafer theory. Iran. J. Sci. Technol.-Trans. Electr. Eng. 439(2), 295–305 (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory;Applied Soft Computing;2022-07

2. High-Discrimination Multi-sensor Information Decision Algorithm Based on Distance Vector;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020