个人简介:
曾鸣,男,汉族,出生于1988年1月,博士研究生学历(毕业于湖南大学)。现为太阳成集团tyc33455ccwww副教授,担任中国振动工程学会动态测试专业委员会委员以及《Knowledge-Based System》、《Journal of Sound and Vibration》 等国际期刊的审稿人。在国内外期刊、会议上发表学术论文30余篇,其中在《Mechanical Systems and Signal Processing》、《IEEE Transactions on Industrial Electronics》和《Knowledge-Based Systems》等 SCI收录期刊发表论文20篇。
联系方式:
邮箱:zengming@cug.edu.cn
办公室:教二楼431
主要研究方向:
可解释性神经网络;深度学习(比如图神经网络);装备故障诊断与智能维护;(机械装备、新能源电池等)剩余使用寿命预测;边缘计算(云边协同);动态信号处理与分析。
欢迎对以上研究方向感兴趣的同学报考研究生。
主要学术成果:
以第一作者或者通讯作者发表的代表性论文如下:
(1)Zeng Ming, Wang Hao, Cheng Yiwei, Wei Jianyu. A Compound Fault Diagnosis Model for Gearboxes Using Correlation Information Between Single Faults, Measurement Science and Technology, 2024, 35(3): 036202. (DOI: 10.1088/1361-6501/ad1312)
(2)Rao Fengpei, Zeng Ming, Cheng Yiwei, A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery, IEEE Sensors Journal, 2024, 24(1). (DOI: 10.1109/JSEN.2023.3332755)
(3)Chen Xiao, Zeng Ming. Convolution-Graph Attention Network With Sensor Embeddings for Remaining Useful Life Prediction of Turbofan Engines, IEEE Sensors Journal, 2023, 23(14): 15786-15794. (DOI: 10.1109/JSEN.2023.3279365)
(4)Zeng Ming, Wu Feng, Cheng Yiwei. Remaining Useful Life Prediction via Spatio-Temporal Channels and Transformer, IEEE Sensors Journal, 2023, 23(23): 29176-29185. (DOI: 10.1109/JSEN.2023.3324330)
(5)Zeng Ming, Chen Zhen. SOSO Boosting of the K-SVD denoising algorithm for enhancing fault-induced impulse responses of rolling element bearings, IEEE Transactions on Industrial Electronics, 2020, 67(2): 1282- 1292.
(6) Zeng Ming, Zhang Weimin, Chen Zhen. Group-based K-SVD denoising for bearing fault diagnosis. IEEE Sensors Journal, 2019, 19( 15): 6335-6343.
(7)Zeng Ming, Yang Yu, Zheng Jinde, Cheng Junsheng. Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings. Mechanical Systems and Signal Processing, 2016, 66-67: 533-545.
(8)Zeng Ming, Yang Yu, Luo Songrong, Cheng Junsheng. One-class classification based on the convex hull for bearing fault detection. Mechanical Systems and Signal
Processing, 2016, 81: 274-293.
(9)Zeng Ming, Yang Yu, Zheng Jinde, Cheng Junsheng. Normalized complex Teager energy operator demodulation method and its application to fault diagnosis in a rubbing rotor system. Mechanical Systems and Signal Processing, 2015, 50-51: 380-399.
主持或参与的主要科研项目如下:
(1)深圳市科技创新委员会, 自由探索类基础研究项目,2021Szvup157 ,基于信 息交互网络的顶驱钻机主轴回转系统智能故障诊断研究,2021-07至 2024-06 ,主持
(2)国家自然科学基金委员会,青年基金项目,51705483 ,判别稀疏分解及其在机械故障特征提取中的应用,2018-01至 2020- 12 ,主持
(3) 国家科技部,国家重点研发计划子课题,2018YFC0603402 ,5000 米地质岩心钻机关键技术与装备研制,2018-07至 2021-06 ,参加
(4)中央高校基本科研基金项目,CUG170631,基于稀疏表示的机械故障特征提取方法研究,2016-07至 2019-07 ,主持