Rui Liu1, Jimeng Li1, Xilei Guan1

  • 1College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China; Hebei Key Laboratory of Measurement Technology and Instrumentation, Yanshan University, Qinhuangdao 066004, PR China.

ISA transactions
|November 18, 2025
PubMed
概括

这项研究引入了一种用于滚动轴承失衡故障诊断的新框架,通过整合数据增强和贝叶斯推理来提高未见数据的准确性. 这种方法提高了工业设备健康监测的概括性.