南京航空航天大学主页平台管理系统李舜酩--中文主页-- Novel data-driven short-frequency mutual information entropy threshold filtering and its application to bearing fault diagnosis

李舜酩

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Novel data-driven short-frequency mutual information entropy threshold filtering and its application to bearing fault diagnosis

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所属单位：能源与动力学院

发表刊物：Measurement Science and Technology

是否译文：否

发表时间：2019-09-04

合写作者：辛玉

通讯作者：李舜酩

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