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- 基本教学信息
- 本科教学信息
- 1.液压与气压传动
2.深度学习导论 - 教学项目及获奖
- 研究生教学信息
- 学科及研究方向
- 1.[硕士]机械电子工程(080202),研究方向:
2.[硕士]机械(085501),研究方向:
3.[硕士]流体传动与控制(0802Z2),研究方向:
4.[硕士]流体机械与工程(080704),研究方向: - 研究生招生信息
- 致力于工业大数据分析、人工智能算法、信号分析与处理、复杂装备智能故障诊断和剩余寿命预测等方面的研究,学生主要负责使用python语言编程。课题组管理相对严格,施行一对一指导,要求学生定期汇报研究进展,欢迎有志于从事科学研究且愿意投入时间和精力的学生加入,必不辜负同学们的科研热情!
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2021级 硕士研究生 机械 田嘉野
2021级 硕士研究生 机械 于卓泽(获研究生国家奖学金)
2021级 硕士研究生 机械 许磊涛(与张立杰老师合带,获研究生国家奖学金)
2021级 硕士研究生 机械 李颖(与张立杰老师合带,获研究生国家奖学金)
2021级 硕士研究生 机械 张志康(与袁晓明老师合带)
2022级 硕士研究生 机械 施东凌(与袁晓明老师合带)
2022级 硕士研究生 机械 帅瀚钦
2022级 硕士研究生 机械 陶睿
2023级 硕士研究生 机械 王相峰
2023级 硕士研究生 机械 李佳凌
2023级 硕士研究生 机械 胡峻晖(与张立杰老师合带) - 硕士教学信息
- 研究生论文写作
- 博士教学信息
- 科研信息
- 在研项目信息
- 多源数据融合下风电传动系统非平衡小样本故障诊断方法研究,河北省自然科学基金青年基金(E2022203022),2022.01-2024.12,主持。
- 完成项目信息
- 专著、专利信息
- 1.梁永直,梁朋飞,王红利,田定奎,李玉龙,刘修振,一种基于NW型行星轮系的压力无级变速器,专利号:ZL 201610138610.7
2.梁永直,梁朋飞,孙桓五,容幸福,杨世淼,一种基于NW型双联行星齿轮结构的压力无级变速器,专利号:ZL 201610138607.5 - 学术论文信息
- 18.Xiaoming Yuan, Zhikang Zhang, Pengfei Liang*, Zhi Zheng, Lijie Zhang, A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels, Applied Acoustics,219(2024)109940(中科院二区,IF=3.4,指导21级硕士生张志康完成);
17.Lijie Zhang, Bin Wang, Pengfei Liang*, Xiaoming Yuan, Na Li, Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment, Advanced Engineering Informatics,58 (2023) 102211(中科院一区,IF=8.8,指导20级硕士生王斌完成);
16.Pengfei Liang, Jiaye Tian, Suiyan Wang, Xiaoming Yuan, Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network,Reliability Engineering and System Safety,242(2024)109788(中科院一区,IF=8.1,指导21级硕士生田嘉野完成);
15.Pengfei Liang, Leitao Xu, Hanqin Shuai, Xiaoming Yuan, Bin Wang, Lijie Zhang*, Semi-supervised subdomain adaptation graph convolutional network for fault transfer diagnosis of rotating machinery under time-varying speeds,IEEE/ASME Transactions on Mechatronics,2024,29(1):730-741(中科院一区,IF=6.4,指导21级硕士生许磊涛完成);
14.Pengfei Liang, Zhuoze Yu, Bin Wang, Xuefang Xu, Jiaye Tian, Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network,Advanced Engineering Informatics,57(2023)102075(中科院一区,IF=8.8,指导21级硕士生于卓泽完成);
13.Pengfei Liang, Ying Li, Bin Wang, Xiaoming Yuan, Lijie Zhang*, Remaining useful life prediction via a deep adaptive transformer framework enhanced by graph attention network, International Journal of Fatigue,174 (2023) 107722(中科院一区,IF=6.0,指导21级硕士生李颖完成);
12.Pengfei Liang, Bin Wang, Guoqian Jiang, Na Li, Lijie Zhang*, Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds, Engineering Applications of Artificial Intelligence,118 (2023) 105656(中科院二区Top,IF=8.0,指导20级硕士生王斌完成);
11.Pengfei Liang, Chao Deng, Xiaoming Yuan, Lijie Zhang, A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox, ISA Transactions,2023,135:462-475(中科院二区Top,IF=7.3);
10.Pengfei Liang, Wenhui Wang, Xiaoming Yuan, Siyuan Liu, Lijie Zhang, Yiwei Cheng*, Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment, Engineering Applications of Artificial Intelligence,115(2022)105269(中科院二区Top,IF=8.0,ESI高被引论文,指导19级本科生王文辉完成);
9.Lijie Zhang, Bin Wang, Xiaoming Yuan, Pengfei liang*, Remaining useful life prediction via improved CNN, GRU and residual attention mechanism with soft thresholding, IEEE sensors journal,2022,22(15):15178-15190(中科院二区Top,IF=4.3,指导20级硕士生王斌完成);
8.Pengfei Liang, Chao Deng, Jun Wu*, Guoqiang, Li, Intelligent Fault Diagnosis Via Semi-Supervised Generative Adversarial Nets and Wavelet Transform, IEEE Transactions on instrumentation and measurement,2020,69(7):4659-4671(中科院二区,IF=5.6);
7.Pengfei Liang, Chao Deng*, Jun Wu, Zhixin Yang, Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework, Knowledge-based systems,198(2020)105895(中科院一区,IF=8.8);
6.Pengfei Liang, Chao Deng*, Jun Wu*, Zhixin Yang, Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform, Computers in Industry,113(2019)103132(中科院一区,IF=10.0);
5.Pengfei Liang, Chao Deng*, Jun Wu*, Zhixin Yang, Intelligent Fault Diagnosis of Rotating Machinery Via Wavelet Transform, Generative Adversarial Nets and Convolutional Neural Network, Measurement,159(2020)107768(中科院二区,IF=5.6,ESI高被引论文);
4.Pengfei Liang, Chao Deng, Jun Wu, A Semi-Supervised Fault Diagnosis Framework for a Gearbox Based on Generative Adversarial Nets, 2018 IEEE 8th International Conference on Underwater System Technology: Theory and Application, Wuhan, China(EI检索);
3.Pengfei Liang, Chao Deng, Jun Wu, Intelligent Fault Diagnosis of Bearing Based on Convolutional Neural Network and Frequency Spectrograms, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM),San Francisco,CA,USA(EI检索);
2.Chao Deng, Chaoqun Duan, Pengfei Liang, Study on Health Assessment and Residual Useful Life Prediction of Wind Turbine, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Auckland, New Zealand (EI检索);
1.梁朋飞,梁永直,王红利.NW型行星轮系的可靠性研究.科学技术与工程,2016,16(29):222-226. - 科研获奖信息
- 1.2021年 中国高校黄大年式教师团队 现代流控基础理论与工程应用教师团队
2.2023年 第三十届全国振动与噪声高技术应用学术会议优秀论文,李颖,梁朋飞*,张立杰,袁晓明,基于多尺度图卷积域适应网络的轴承剩余寿命预测方法。
3.2023年 第五届全球校园人工智能算法精英大赛全国总决赛一等奖优秀指导老师 - 社会信息
- 社会兼职信息
- 1、担任IEEE Transactions on instrumentation and measurement, Reliability Engineering and System Safety,ISA transactions, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, 振动与冲击等期刊审稿人;
2、Electronics期刊客座编辑 - 荣誉称号
- 学习工作简历
- 2009.9--2013.06 中原工学院 机械设计制造及其自动化专业 本科;
2014.9—2017.06 太原理工大学 机械工程专业 硕士;
2017.9--2020.12 华中科技大学 机械工程专业 博士
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联系电话:0335-8057031 传真:0335-8074783 电子信箱:mec@ysu.edu.cn