双域冲动复杂度指数引导投影代方法基于优化器-特征模式分解 (DICI引导PIMO-FMD):在强噪声条件下进行轴承故障诊断的强有力的方法

Dongning Chen1, Qinggui Xian1, Chengyu Yao2

  • 1School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

PubMed
概括

这项研究引入了一个新的双域冲动复杂性指数 (DICI),以改善在杂的工业环境中进行轴承故障检测. 该方法可自适应地优化特征模式分解 (FMD) 的参数,提高故障冲击检测,即使信号噪声比低.

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