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郑近德 副教授
2021-07-16  

姓名

郑近德

工号


性别


导师

情况

硕导

学历

博士

职称

副教授

职务

系主任

邮编

243032

办公地点

机械楼329

电话

18395585081

传真


邮箱

lqdlzheng@126.com

jdzheng@cc-hb.net

个人简介:郑近德,男,博士,硕士生导师。中国振动工程学会转子动力学分会和故障诊断分会理事,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,《振动与冲击》编委(EI期刊),安徽工业大学首届拔尖人才培养对象,安徽省科学技术二等奖(自然科学奖)获得者(2020年,第一完成人)。主持国家自然科学基金2项,安徽省自然科学基金1项,安徽省高校自然科学研究重点项目2,省级重点实验室课题1,参与国家重点研发计划子课题、安徽省自然科学基金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80余篇,其中SCI/EI收录50余篇申请和授权发明专利5项,领域内高被引论文3篇,H因子22

担任20余种SCIEI期刊审稿人

1Mechanical Systems and Signal Processing(一区,TOP

2IEEE Transaction on Fuzzy systems(一区,TOP

3Measurement(二区)

4Signal Processing(二区)

5IEEE Access(二区)

6ISA Transactions(二区)

7IEEE Transaction on Signal processing Letters(三区)

8Journal of Sound and Vibration(二区)

9Signal Processing(二区)

10Knowledge based systems(二区)

11)振动与冲击(EI

12)重庆大学学报EI

13)西安交通大学学报(EI

14)吉林大学学报(EI

16振动工程学报(EI

(17)中国机械工程(EI)

主要研究方向和感兴趣领域:

(1)机械信号分析与处理

(2)机械健康监测与智能维护

3机器学习及深度学习方法

4机械设备剩余寿命预测

5)非线性动力学特征提取


详见团队网站:

http://www.x-mol.com/groups/zheng_jinde

2021

[1]郑近德,王兴龙,潘海洋,.基于自适应自相关谱峭度图的滚动轴承故障诊断方法[J].中国机械工程,2021,32(07):778-785+792.

[2]Jinde Zheng, Miaoxian Su, Wanming Ying, et al. Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis[J]. Measurement, 2021,179: 109425.

[3]Jinde Zheng, Xinglong Wang, Haiyang Pan, et al. The Traverse Symplectic Correlation-Gram (TSCgram): A New and Effective Method of Optimal Demodulation Band Selection for Rolling Bearing[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-15.

[4]Haiyang Pan, Jinde Zheng. An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine[J]. Applied Soft Computing. 2021,105: 107284.

[5]Haiyang Pan, Jinde Zheng, Yu Yang, et al. Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis [J]. Mechanism and Machine Theory, 2021, 155: 104082.


[6]Jinde Zheng, Haiyang Pan, Jinyu Tong, et al. Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing. ISA Transactions, Available online 1 June 2021.

[7]徐海锋, 潘海洋, 郑近德, .交互偏移支持矩阵机及其在滚动轴承故障诊断中的应用.振动工程学报.2021,已录用)

2020

[1]郑近德,潘海洋,童靳于,.自适应掩膜信号集成局部特征尺度分解及其应用[J].电子学报,2020,48(10):2060-2070.

[2]郑近德,潘海洋,程军圣,.基于自适应经验傅里叶分解的机械故障诊断方法[J].机械工程学报,2020,56(09):125-136.

[3]Jinde Zheng, Haiyang Pan. Use of generalized refined composite multiscale fractional dispersion entropy to diagnose the faults of rolling bearing[J]. Nonlinear Dynamics, 2020, 101(2): 1417-1440.

[4]Jinde Zheng, Haiyang Pan. Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing[J]. ISA Transactions, 2020, 106: 392-401

[5] Jinde Zheng, Haiyang Pan, Qingyun Liu, et al. Refined time-shift multiscale normalised dispersion entropy and its application to fault diagnosis of rolling bearing[J]. Physica A: Statistical Mechanics and its Applications, 2020, 545: 123641.

[6] Xinglong Wang, Jinde Zheng, Haiyang Pan, et al. Maximum envelope-based Autogram and Symplectic geometry mode decomposition based gear fault diagnosis method - ScienceDirect[J]. Measurement, 2020, 174: 108575.

[7] Haiyang Pan, Yu Yang, Jinde Zheng, et al. Symplectic interactive support matrix machine and its application in roller bearing condition monitoring[J]. Neurocomputing, 2020, 398:1-10.

[8] Haiyang Pan, Yu Yang, Ping Wang, et al. Symplectic incremental matrix machine and its application in roller bearing fault diagnosis[J]. Applied Soft Computing.2020,95: 106566.

2019

[1] 李从志,郑近德,潘海洋,.基于精细复合多尺度散布熵与支持向量机的滚动轴承故障诊断方法[J].中国机械工程,2019,30(14):1713-1719+1726.

[2] Jinde Zheng, Haiyang Pan, Qingyun Liu, et al. Refined time-shift multiscale normalised dispersion entropy and its application to fault diagnosis of rolling bearing[J]. Physica A: Statistical Mechanics and its Applications, 2019, 545: 123641.

[3] Jinde Zheng, Zhilin Dong, Haiyang Pan, et al. Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing[J]. Measurement, 2019, 143: 69-80.

[4] Jinde Zheng, Jinyu Tong, Qing Ni, et al. Partial ensemble approach to resolve the mode mixing of extreme-point weighted mode decomposition[J]. Digital Signal Processing, 2019, 89: 70-81.

[5] Haiyang Pan, Yu Yang, Xin Li, et al. Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis[J]. Mechanical Systems and Signal Processing, 2019, 114: 189-211.

[6] Haiyang Pan, Yu Yang, Jinde Zheng, et al. A noise reduction method of Symplectic Singular Mode Decomposition based on Lagrange multiplier. Mechanical Systems & Signal Processing. 2019, 133:106283.

[7] Haiyang Pan, Yu Yang, Jinde Zheng, et al. A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine[J]. Mechanism and Machine Theory. 2019,140:31-43.

[8] Haiyang Pan, Yu Yang, Jinde Zheng, et al. Symplectic transformation based variational Bayesian learning and its applications to gear fault diagnosis[J]. Measurement. 2019, 147, 106827.

[1] 广义自适应谐波分解理论及其在低速重载齿轮箱故障诊断与预测中的应用,国家自然科学基金面上项目(编号:51975004),2020/01-2023/12.60万,主持,在研

[2] 基于多尺度复杂性理论的旋转机械关键部件故障诊断与预测方法研究,安徽省高校自然科学基金研究重点项目,2020/01-2021/126万,主持,在研

[3] 广义自适应傅里叶分解及其在齿轮箱故障诊断中的应用,安徽省自然科学基金,2020/01-2021/1210万元,在研,主持

[4] 傅里叶自适应模态分解及其在采煤机关键部件故障诊断中的应用研究,矿山智能装备与技术安徽省重点实验室,2019/07-2021/062.5万,主持,在研

[5] 冶金起重机健康诊断与装备研发,国家重点研发计划计划子课题,2017/07-2020/12120万,主要参与,在研)

[6] 经验小波变换理论及其在机械故障诊断中的应用研究. 国家自然科学基金项目(青年类)(编号:51505002),2016/01-2018/12.20万,主持,结题

[7] 稀疏带宽模态分解及其在机械故障诊断中的应用研究,安徽省高校自然科学基金研究重点项目,2016/01-2017/126万,主持,结题


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AYTG05_ senke, [17.09.21 18:35]