姓 名 | 宋万清 | 性 别 | 男 | |
职 称 | 教授 | |||
研究方向 | 状态监测与故障诊断,电力系统可靠性分析,机电一体化控制与现场总线技术,大数据处理 | |||
通讯地址 | 上海松江区龙腾路333号行政楼915 | |||
邮政编码 | 201620 | |||
联系电话 | 13916842386(微信) | |||
电子邮箱 | swqls@126.com | |||
个 人 介 绍 |
北京科技大学自动控制理论与应用专业硕士学位,东华大学机械制造及其自动化专业博士学位,2013.1-2014.3在美国弗吉尼亚理工大学高级研究学者,2019.11-2020.10意大利米兰理工大学高级研究学者。硕士毕业后在中石化仪征化纤集团公司工作,从事大型项目电、仪控制的外商谈判、设计、安装、调试和ISO9000惯标文件编写,获电气、仪表高级工程师。2001年11月调入leyu乐鱼,主讲25门本科课程,2门研究生课。2007-2009年,三次应邀赴意大利罗马大学、佩鲁贾大学、萨兰诺大学做小波、混沌、分形的讲学。2010年,作为特聘专家赴约旦进行一项矿山开采控制系统项目的招标与谈判。2018年5月,应邀到俄罗斯乌法国立石油大学和BRISK大学做学术交流。近年发表性论文80多篇,出版教材一本。担任多个国际SCI期刊审稿人;2017年主持完成上海市自然基金一项; 兼任教育部评审专家、上海市科委评审专家、上海市教委评审专家。 近6年主要成果:
1.主持“压缩传感与长相关随机模型的机械设备运行状态监测与预测研究”,上海市自然科学基金(14ZR1418500),2014.7-2017.6 2.一种电力负荷短期预测方法,专利号ZL201810542186.1,授权时间2020.7.10 3.一种轴承振动信号稀疏重构的方法,专利号ZL201611154387.1,授权时间2019.2 4.一种基于长相关FARIMA模型的短期电力负荷预测方法,专利号CN104318334B,授权时间2017.7 5.一种冷冻站中央监控系统, 专利号ZL200710172720,授权时间2011.4 二、出版教材 宋万清等编著,数据挖掘, 铁道科学出版社,2019.1 三、近年第一作者和通讯作者代表性论文: [1]Liu H, Song W Q*, Zhang Y J, et al. Generalized Cauchy Degradation Model with Long-range Dependence and Maximum Lyapunov Exponent for Remaining Useful Life[J]. IEEE Transactions on Instrumentation & Measurement,2021,DOI:10.1109/TIM.2021.3063749 (SCI: 2区) [2]Liu H, SongW Q*, Zio E. Generalized Cauchy Difference IterativeForecasting Model for Wind Speed Based on Fractal Time Series[J]. Nonlinear Dynamics, 2021, 103(1):1-15(SCI: 2区) [3] Liu H,SongW Q*, Niu Y H,et al.A Generalized Cauchy Method for Remaining Useful Life Prediction of Wind Turbine Gearboxes[J]. Mechanical Systems and Signal Processing,2021, 153(15):107471(SCI:1区) [4]Ren, Lijia; Deng, Juequan; Song, Wanqing,A Fractional Brownian Motion Model for Forecasting Lost Load and Time Interval Between Power Outages[J]. IEEE ACCESS, 2021, 9:6623-6632 [5]Deng Juequan, Song wanqing*, A Discrete Increment Model for Electricity Price Forecasting Based on Fractional Brownian Motion, IEEE access, DOI: 10.1109/ACCESS.2020.3008797(SCI:2区) [6]Fei Wu,Carlo Cattani,Wanqing Song*,EnricoZio,Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting,Alexandria Engineering Journal,Available online 7 July 2020,https://authors.elsevier.com/sd/article/S1110-0168(20)30313-6 [7]Shouwu Duan, Wanqing Song, Carlo Cattani*, Yakufu Yasen and He Liu,Fractional Levy Stable and Maximum Lyapunov Exponent for Wind Speed Prediction,symmetry2020, 12, 605; DOI:10.3390/sym12040605 [8] Haiyang Wang, Wanqing Song*, Enrico Zio, Aleksey Kudreyko, Yujin Zhang, Remaining Useful Life Prediction for Lithium-ion Batteries Using Fractional Brownian Motion and Fruit-fly Optimization Algorithm, measurement, Measurement, 2020, 161(9):107904(SCI: 2区) [9]He Liu, Wanqing Song*, Ming Li, Aleksey Kudreyko, Enrico Zio, Fractional Lévy stable motion: Finite difference iterative forecasting model, Chaos, Solitons and Fractals,2020, 133(4):109632(SCI:2区,ESI 2021.3) [10]Wanqing Song*, Xiaoxian Chen, Carlo Cattani and Enrico Zio, Multi-Fractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting,complexity,2020(1):8543131 ( ESI 2021.3) [11]Song W*, Cattani, C., Chi, C.-H,Multifractional Brownian motion and quantum-behaved particle swarm optimization for short term power load forecasting: An integrated approach, Energy, 2020, 194(3):116847(SCI一区) ( SCI: 1区,ESI 2021.3) [12]Wanqing Song,Aleksey A. Kudreyko,Nail G. Migranov,Surface effects in the model of polymer-stabilized ferroelectric liquid crystal cells,Indian Journal of Physics,2019,12:1-7 [13]Song, W*., Li, M., Li, Y., Cattani, C., Chi, C.-H, Fractional Brownian motion: Difference iterative forecasting models, Chaos, Solitons and Fractals,123(2019): 347-355(SCI:2区) [14]Yujin Zhang,Wanqing Song*, Tire Vibration Trend Forecasting via FARIMA and Finite-Element Modal, IEEE Access, 2018(SCI:2区) [15]李宇飞,宋万清*, 无量纲参数滚动轴承长相关故障趋势预测,噪声与振动控制,2018, 3(6):141-156 [16]Yangde Gao, SongWanqing*, Spare optimistic based on improved ADMM and the minimum entropy deconvolution for the early weak fault diagnosis of bearings in marine systems, ISA Transactions, 201810.1(SCI:2区) [17]Wanqing Song*, Nazarova Maria N., Ting Zhang, Yujin Zhang, Ming Li. Sparse Reconstruction Based on the ADMM and Lasso-LSQR for Bearings Vibration Signals, IEEE Access, 2017, 5: 20083-20088(SCI:2区) [18]Yangde Gao, Wanqing Song*, Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis, Entropy, 2017,19(4) ( ESI 2021.3) [19]Wanqing Song*, Sparse Optimization of Vibration Signal by ADMM, Journal of Applied Mathematics, 2017(2017):1-5 [20]Wanqing Song*, Ming Li, Jiankai Liang, Prediction of Bearing Fault Using Fractional Brownian Motion and Minimum Entropy Deconvolution, Entropy, 2016, 18(11):418~433 [21]Zongli Shi, Wanqing Song*, Saied Taheri, Improved LMD, Permutation Entropy and Optimized K-Means to Fault Diagnosis for Roller Bearings, Entropy, 2016, 18(3):1~11 [22]Jiankai Liang, Carlo Cattani, Wanqing Song*, Power Load Prediction Based on Fractal Theory, Advances in Mathematical Physics, 2015. 3 |