基于BAYES-ICEEMDAN-SNR特征增强和ITOC-LSSVM的滚动轴承和轮的混合智能故障诊断框架

Xiaoxu He1, Xingwei Ge1, Zhe Wu1

  • 1School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

PubMed
概括

这项研究引入了一种新的方法,将贝叶斯优化与增强的信号处理相结合,以改善滚动轴承和轮故障诊断. 新方法的准确度超过97%,超过现有模型的性能.

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