轨道交通学院 |
您所在的位置:网站首页 › 苏州大学机械研究所 › 轨道交通学院 |
代表论文列表:Xingxing Jiang, Jun Wang, Juanjuan Shi, Changqing Shen, Weiguo Huang, Zhongkui Zhu*, A coarse-to-finedecomposing strategy of VMD for extraction of weak repetitive transients infault diagnosis of rotating machines. Mechanical Systems and Signal Processing,2019, 116: 668-692.Lin Wang,Gaigai Cai, Jun Wang, Xingxing Jiang, ZhongkuiZhu*, Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox FaultDiagnosis. IEEE Transactions on Instrumentation and Measurement,DOI:10.1109/TIM.2018.2851423.Wei You, ChangqingShen, Xiaojie Guo, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu*, A hybrid technique based on convolutionalneural network and support vector regression for intelligent diagnosis ofrotating machinery. Advances in Mechanical Engineering,2017, 9(6), 1687814017704146.Yumei Qi, Changqing Shen*, Dong Wang, JuanjuanShi, Xingxing Jiang, Zhongkui Zhu, StackedSparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.IEEE Access, 2017, 5, 15066-15079.Changqing Shen, Gaigai Cai, Zhiyong He, WeiguoHuang*, Zhongkui Zhu, A Parameterized DopplerDistorted Matching Model for Periodic Fault Identification in LocomotiveBearing, Journal of Mechanical Engineering Science, 2016, 203(20): 3791-3802.Lin Wang, Gaigai Cai*, Wei You, Weiguo Huang, Zhongkui Zhu, Transients ExtractionBased on Averaged Random Orthogonal Matching Pursuit Algorithm for MachineryFault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 2017,66(12): 3237-3248.Xingxing Jiang, Changqing Shen*, Juanjuan Shi, Zhongkui Zhu, Initial centerfrequency-guided VMD for fault diagnosis of rotating machines. Journal of Soundand Vibration, 2018, 435: 36-55.Cheng Li, Shuang Li, Linquan Yao, Zhongkui Zhu*. Nonlocal theoretical approaches and atomistic simulations for 4 longitudinal free vibration of nanorods/nanotubes and 5 verification of different nonlocal models. Applied Mathematical Modelling[J], http://dx.doi.org/10.1016/j.apm.2015.01.013 Shibin Wang; Gaigai Cai; Zhongkui Zhu*; Weiguo Huang; Xingwu Zhang.Transient signal analysis based on Levenberg-Marquardt method for faultfeature extraction of rotating machine, Mechanical Systems and Signal Processing[J], 54-55 (2015) 16–40.Wei Fan,Gaigai Cai*, Z.K. Zhu, Changqin Shen, Weiguo Huang, Li Shang. Sparse representation of transients under wavelet basis and its application in gearbox fault feature extraction,Mechanical Systems and Signal Processing[J], 56-57 (2015) 230–245.Wei Fan, Gaigai Cai, Weiguo Huang, Li Shang, Zhongkui Zhu*. Sparse Representation of Transients Based on Wavelet Basis and Majorization-Minimization Algorithm for Machinery Fault Diagnosis, Mathematical Problems in Engineering[J]. 2014.Haiyang Liu, Weiguo Huang, Shibin Wang, Zhongkui Zhu. Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection, Signal Processing[J]. 96: 118-124, 2014. 朱忠奎,陈祥芹,樊薇,黄伟国,尚丽. 基于降维的独立分量分析及信号特征成分检测, 仪器仪表学报[J].35(4), 2014 黄伟国, 顾超, 朱忠奎. 用于目标识别的PCA-SC形状匹配算法,光学 精密工程[J]. 21(8), 2013 ShibinWang, Weiguo Huang,Z.K. Zhu*. Transient modeling and parameter dentificationbased on wavelet and correlation filtering for rotating machine faultdiagnosis[J], Mechanical System and Signal Processing[J]. 25(4): 1299-1320,2011.王诗彬, 许佳, 朱忠奎*. 瞬态成分参数的最小二乘法辨识及其轴承故障特征提取应用, 机械工程学报[J]. 48(7), 2011.ShibinWang,Z.K. Zhu*,Yingping He, Weiguo Huang, AdaptiveParameter Identification based on Morlet Wavelet and Application in GearboxFault Feature Detection, EURASIP Journal on Advances in Signal Processing[J], doi:10.1155/2010/842879, 2010.Z.K.Zhu*, Zhiyong He, Shibin Wang,Anzhu Wang, Synchronous enhancement of periodic transient on polardiagram for Mechanical fault diagnosis, International Journal of Wavelets, Multiresolution andInformation Processing[J], 7(4), 427-442, 2009.Z.K. Zhu*, Ruqiang Yan, Z.H. Feng, F.R. Kong, Signal transient detection basedon wavelet and statistics for rotary machine fault diagnosis, Mechanical Systemand Signal Processing, 23(3), 2009.Z.K. ZHU, Z.H. FENG and F.R. KONG. Cyclostationarityanalysis for gearbox condition monitoring: approaches and effectiveness. Mechanical System and Signal Processing, 18(3), 2005.6 |
今日新闻 |
点击排行 |
|
推荐新闻 |
图片新闻 |
|
专题文章 |
CopyRight 2018-2019 实验室设备网 版权所有 win10的实时保护怎么永久关闭 |