Chinese Journal of Ship Research, Volume. 16, Issue 6, 183(2021)
Rolling bearing fault diagnosis method based on FSC-MPE and BP neural network
Figures & Tables(14)
![[in Chinese]](/Images/icon/loading.gif){kind=icon}
Table 1. Sample statistics of bearing data
View tableView in ArticleTable 1. Sample statistics of bearing data
故障类型 损伤尺寸/in 样本数量/个 标签 正常情况 150 0 内圈故障 0.07 150 1 0.14 150 2 0.21 150 3 外圈故障 0.07 150 4 0.14 150 6 0.21 150 7 总计 1 050
Table 2. Fault defect frequencies
Table 3. Diagnosis results of bearing fault
View tableView in ArticleTable 3. Diagnosis results of bearing fault
故障类型 损伤尺寸/in 正确数/总数 准确率/% 正常情况 25/25 100 内圈故障 0.07 24/25 96 0.14 24/25 96 0.21 25/25 100 外圈故障 0.07 24/25 96 0.14 24/25 96 0.21 25/25 100 总计 171/175 97.71
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Junfeng LIU, baoying DONG, Xiang YU, Haibo WAN. Rolling bearing fault diagnosis method based on FSC-MPE and BP neural network[J]. Chinese Journal of Ship Research, 2021, 16(6): 183
Paper Information
Category: Marine Machinery, Electrical Equipment and Automation
Received: Oct. 28, 2020
Accepted: --
Published Online: Mar. 28, 2025
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