黄伟国

发布时间:2025-03-12浏览次数:2769

[1]Rui Wang, Weiguo Huang*(通讯作者), Mingkuan Shi, et al., Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy, Knowledge-Based Systems (2022), doi: https://doi.org/10.1016/j.knosys.2022.109880.

[2]Erfeng Gao, Weiguo Huang*(通讯作者), Juanjuan Shi, Xiang Wang, Jianying Zheng, Guifu Du, and Yanyun Tao. Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI10.1109/TITS.2022.3200737.

[3]R. Wang, Weiguo Huang*(通讯作者), J. Wang, C. Shen and Z. Zhu. Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions[J]. IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022, Art no. 3511010, doi: 10.1109/TIM.2022.3168903.

[4]Juanjuan Shi, Zehui Hua, Weiguo Huang*(通讯作者), Patrick Dumond, Changqing Shen, Zhongkui Zhu.Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2022, DOI10.1109/TIM.2022.3161696

[5]Weiguo Huang, Cheng Zhang, Shuyou Wu, Juanjuan Shi*, Guifu Du, Zhongkui Zhu. Non-convex regularized sparse representation in the tight frame for gear fault diagnosis[J]. Measurement Science and Technology, 2022, https://doi.org/10.1088/1361-6501/ac6414

[6]Rui Wang, Weiguo Huang*(通讯作者), Juanjuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu. Higher-order moment matching based fine-grained adversarial domain adaptation method for intelligent bearing fault diagnosis[J]. Measurement Science and Technology, 2021, DOI: https://doi.org/10.1088/1361-6501/ac471d

[7]Ziwei Zhang, Weiguo Huang*(通讯作者), Yi Liao, Zeshu Song, Juanjuan Shi, Xingxing Jiang, Changqing Shen, Zhongkui Zhu, Bearing fault diagnosis via generalized logarithm sparse regularization[J]. Mechanical Systems and Signal Processing, 167 (2022) 108576. https://doi.org/10.1016/j.ymssp.2021.108576

[8]Yi Liao, Weiguo Huang*(通讯作者), Changqing Shen, Zhongkui Zhu, Jianping Xuan, Lingfeng Mao. Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, DOI10.1109/TIM.2021.3108220

[9]张成,黄伟国*(通讯作者),马玉强,阙红波,江星星,朱忠奎.基于自适应学习字典的信号稀疏表示及在轴承故障诊断中的应用[J]. 振动工程学报,2021

[10]黄伟国,李仕俊,毛磊,马玉强,王俊,沈长青,阙红波,朱忠奎.多源稀疏优化方法研究及其在齿轮箱复合故障检测中的应用[J].机械工程学报,2021,57(07):87-99.

[11]Zeshu Song, Weiguo Huang*(通讯作者), Yi Liao, Lei Mao, Juanjuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu. Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis[J]. Measurement Science and Technology, 2021, 32,105003.

[12]Weiguo Huang, Zeshu Song, Cheng Zhang, Jun Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu. Multi-source Fidelity Sparse Representation via Convex Optimization for Gearbox Compound Fault Diagnosis[J]. Journal of Sound and Vibration, doi:10.1016/j.jsv.2020.115879.

[13]Weiguo Huang, Ning Li, Ivan Selesnick, Juanjuan Shi, Jun Wang, Lei Mao, Xingxing Jiang, Zhongkui Zhu. Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis[J], IEEE Transactions on Instrumentation and Measurement, 2020, 69(7): 4863-4872.

[14]Weiguo Huang, Shijun Li, Xiangyu Fu, Cheng Zhang, Juanjuan Shi, Zhongkui Zhu. Transient Extraction Based on Minimax Concave Regularized Sparse Representation for Gear Fault Diagnosis[J], Measurement, DOI: 10.1016/j.measurement.2019.107273  (2020, 151: 107273)

[15]Shijun Li, Weiguo Huang*(通讯作者), Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu. A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings[J]. Applied Sciences, 2019, 9(18), 3768, DOI: 10.3390/app9183768.

[16]Juanjuan Shi, Weiguo Huang*(通讯作者), Changqing Shen, Xingxing Jiang, Zhongkui Zhu, Dual-guidance based optimal resonant frequency band selection and multiple ridge path identification for bearing fault diagnosis under time-varying speeds, IEEE Access, 2019, DOI10.1109/ ACCESS.2019.2945030.

[17]Ning Li, Weiguo Huang*(通讯作者), Wenjun Guo, Guanqi Gao, Zhongkui Zhu. Multiple Enhanced Sparse Decomposition forgearbox compound fault diagnosis[J],IEEE Transactions on Instrumentation and Measurement, 2020, 69(3): 770-781.

[18]高冠琪, 黄伟国*(通讯作者), 李宁, . 基于时频挤压和阶比分析的变转速轴承故障检测方法[J], 振动与冲击, 2020, 39(3): 205-210.

[19]Weiguo Huang, Guanqi Gao, Ning Li, Xingxing Jiang, Zhongkui Zhu. Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis[J], IEEE Transactions on Instrumentation and Measurement, 2019, 68(8): 2819-2829.

[20]XingXing Jiang, Xu Cheng, Juanjuan Shi, Weiguo Huang*(通讯作者), et al. A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage[J], Measurement, 2018, 127: 414-424.

[21]Weiguo Huang, Wei Bi, Guanqi Gao, Yongping Zhang, Zhongkui Zhu. Image smoothing via a scale-aware filter and L0 norm[J], IET image Processing, 2018, 12(9): 1511-1518.

[22]黄伟国, 张永萍, 毕威, 高冠琪, 朱忠奎. 梯度稀疏和最小平方约束下的低照度图像分解及细节增强[J], 电子学报, 2018, 46(2): 424-432

[23]毕威, 黄伟国*(通讯作者), 张永萍, 高冠琪, 朱忠奎. 基于图像显著轮廓的目标检测[J], 电子学报, 2017, 45(8): 1902-1910

[24]胡大盟, 黄伟国*(通讯作者), 杨剑宇, 朱忠奎. 基于同底三角形面积描述的形状检索[J], 电子学报, 2016, 44(5): 1247-1253

[25]黄伟国, 顾超, 尚丽, 杨剑宇, 朱忠奎. 基于轮廓分层描述的目标识别算法研究[J], 电子学报, 2015, 43(5): 854-861

[26]Dameng Hu, Weiguo Huang*(通讯作者), Jianyu Yang, Li Shang, Zhongkui Zhu. Shape matching and object recognition using common base triangle area[J], IET Computer Vision, 2015, 9(5): 769-778

[27]黄伟国, 胡大盟, 杨剑宇, 朱忠奎. 用于遮挡形状匹配的弦角特征描述[J], 光学精密工程, 2015, 23(6): 1758-1767.

[28]胡大盟, 黄伟国*(通讯作者), 杨剑宇, 朱忠奎. 改进离散曲线演化的形状匹配算法[J], 计算机辅助设计与图形学学报, 2015, 27(10):1865-1873.

[29]Changqing Shen, Gaigai Cai, Zhiyong He, Weiguo Huang*(通讯作者), Zhongkui Zhu. A parameterized Doppler distorted matching model for periodic fault identification in locomotive bearing. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2016, 230(20): 3791-3802

[30]Haiyang Liu, Weiguo Huang*(通讯作者), Shibin Wang, Zhongkui Zhu. Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection[J], Signal Processing, 2014, 96: 118-124

[31]王超, 孔凡让, 黄伟国*(通讯作者), . 改进的奇异值分解在轴承故障诊断中的应用[J]. 振动工程学报, 2014, 27(2): 296-303

[32]蔡改改, 刘海洋, 黄伟国*(通讯作者), 朱忠奎. 自适应谱峭度滤波方法及其振动信号检测应用[J]. 振动、测试与诊断, 2014, 34(2): 212-217

[33]沈长青, 朱忠奎, 黄伟国*(通讯作者), 孔凡让. 基于支持向量回归方法的齿轮箱故障诊断研究[J]. 振动、测试与诊断, 2013, 33(5): 775-781

[34]黄伟国, 顾超, 朱忠奎. 用于目标识别的PCA-SC形状匹配算法[J]. 光学精密工程, 2013, 21(8): 2103-2110

[35]黄伟国, 赵凯, 鞠华, 朱忠奎. 时频特征融合的交叉项消除及其故障诊断应用[J]. 振动、测试与诊断, 2012, 32(6): 920-925