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个人简介

郑近德,男,1986年生,安徽临泉人。2014年博士毕业于湖南大学机械工程专业。安徽省振动工程学会会员,中国金属学会冶金设备分会委员,中国振动工程学会转子动力学分会理事,校创新团队“设备运行性能与状态研究”骨干。主持国家自然科学基金和安徽省高校自然科学研究重点项目各一项,参与国家重点研发计划子课题、安徽省自然科学基金和安徽省高校自然科学研究重点项目及企业横向课题多项。在国内外期刊发表学术论文50余篇,其中SCI/EI收录30余篇,授权发明专利1项

研究领域

(1)机械健康监测与智能维护 (2)机械信号分析与处理 (3)机械设备剩余寿命预测 (4)机器学习与模式识别 (5)非线性动力学与复杂性理论 (6)智能监测与诊断系统开发

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1]ZhengJinde,ChengJunsheng,YangYu.Generalizedempiricalmodedecompositionanditsapplicationstorollingelementbearingfaultdiagnosis,MechanicalSystemsandSignalProcessing,2013,40(1):136–153. [2]ZhengJinde,ChengJunsheng,YangYu.Partlyensembleempiricalmodedecomposition:animprovednoise-assistedmethodforeliminatingmodemixing,SignalProcessing2014,96(B):362–374. [3]ZhengJinde,ChengJunsheng;YangYu.ArollingbearingfaultdiagnosisapproachbasedonLCDandfuzzyentropy,MechanismandMachineTheory,2013,70:441–453. [4]ZhengJinde,ChengJunsheng,YangYu,etal.Arollingbearingfaultdiagnosismethodbasedonmulti-scalefuzzyentropyandvariablepredictivemodel-basedclassdiscrimination,MechanismandMachineTheory2014,78:187–200. [5]ZhengJinde,ChengJunsheng,YangYu.Multi-scalepermutationentropybasedrollingbearingfaultdiagnosis,ShockandVibration,2014,1-8. [6]ZhengJinde.Rollingbearingfaultdiagnosisbasedonpartiallyensembleempiricalmodedecompositionandvariablepredictivemodel-basedclassdiscrimination,ArchivesofCivilandMechanicalEngineering,2016,16(4)784-794. [7]ZhengJinde,PanHaiyang,YangShubao,etal.Adaptiveparameterlessempiricalwavelettransformbasedtime-frequencyanalysismethodanditsapplicationtorotorrubbingfaultdiagnosis,SignalProcessing,2017,130,305–314. [8]ZhengJinde.Rollingbearingfaultdetectionanddiagnosisbasedoncompositemultiscalefuzzyentropyandensemblesupportvectormachines,MechanicalSystemsandSignalProcessing2017,85,296–311. [9]ZhengJinde.Rollingbearingfaultdiagnosisbasedonpartiallyensembleempiricalmodedecompositionandvariablepredictivemodel-basedclassdiscrimination,ArchivesofCivilandMechanicalEngineering2016,16(4):784-794. [10]ZhengJinde,PanHaiyang;YangShubao.Adaptiveparameterlessempiricalwavelettransformbasedtime-frequencyanalysismethodanditsapplicationtorotorrubbingfaultdiagnosis,SignalProcessing,2017,130:305-314. [11]姜战伟,郑近德,潘海洋,等.基于多尺度时不可逆与t-SNE流形学习的滚动轴承故障诊断.振动与冲击,2017,36(17):61-68. [12]郑近德,潘海洋,童宝宏,等.基于VPMELM的滚动轴承劣化状态辨识方法.振动与冲击,2017,36(7):57-61. [13]郑近德,姜战伟,代俊习,等.基于VMD的自适应复合多尺度模糊熵及其在滚动轴承故障诊断中的应用.航空动力学报,2017,32(7):1683-1689. [14]郑近德,潘海洋,张俊,等.APEEMD及其在转子碰摩故障诊断中的应用.振动.测试与诊断,2016,36(2):257-263. [15]郑近德,潘海洋,程军圣.非平稳信号分析的广义解析模态分解方法.电子学报,2016,44(6):1458-1464.

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