曾鸣

发布人:jxxx发表时间:2017-02-05点击:

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个人简介:

曾鸣,男,汉族,出生于19881博士研究生学历(毕业于湖南大学。现为永利集团88304官网在线登录(武汉)永利集团88304官网在线登录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 SystemJournal 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:

1Zeng 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)

2Rao 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)

3Chen 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)

4Zeng 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)

5Zeng 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.

6Zeng Ming, Zhang Weimin, Chen Zhen. Group-based K-SVD denoising for bearing fault diagnosis. IEEE Sensors Journal, 2019, 19( 15): 6335-6343.

7Zeng 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.

8Zeng 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.

9Zeng 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,2021-072024-06 ,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,2018-012020- 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,2018-072021-06 ,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,2016-072019-07 ,主持