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个人简介

姓名:鞠萍华 出生年月:1974.12 学历学位:工学博士

研究领域

主要研究方向 机械设计制造及其自动化 工程信号分析与数据处理 机电产品可靠性研究

近期论文

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公开发表论文(代表作) 已在国内外重要学术期刊或国际重要学术会议上发表论文10余篇,其中被SCI、EI、ISTP索引5篇。已发表的5篇代表性论文如下: [1] 鞠萍华. HOT HEAVY RAIL STEEL SURFACE ONLINE FAULTS DETECTING BASED ON FUZZY SPIKING NEURAL NETWORK. METALURGIA INTERNATIONAL,2012,17(12): 48-52, SCIE检索; [2] 鞠萍华,张根保.Research on the time-frequency analysis method to extract early fault features of rotating machinery. Applied Mechanics and Materials,2012,190: 1371-1375, EI检索; [3] 鞠萍华,秦树人.Energy operator demodulating approach based on LMD and its application in extracting characteristics of a fault signal. 振动与冲击,2011,30(2):1-5,EI检索; [4] 鞠萍华,秦树人等. Earlier fault diagnosis of nonsynchronous feature signal of gearbox. 振动工程学报,2009,22(6):645-651,EI检索; [5] 鞠萍华,秦树人. Research on earlier fault diagnosis of gear by method of multi-resolution empiri- cal mode decomposition and frequency domain averaging. 振动与冲击, 2009,28(5):97-101,EI检索。

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