科 研 论 文 及 成 果
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2021年： [1]郑近德,王兴龙,潘海洋,等.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,等.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年 [1]郑近德,潘海洋,童靳于,等.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,等.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年 [1]李从志,郑近德,潘海洋,等.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. |
