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，机电一体化智能控制，大数据处理

地址
上海松江区龙腾路333号现代交通中心7931室

邮政编码
201620

联系电话
**

电子邮箱
swqls@126.com

个人简介
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和2019.11-2020.10分别美国弗吉尼亚理工大学和意大利米兰理工大学高级研究****。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月调入上海工程技术大学,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，其中代表作24篇（SCI 1区2篇，2区8篇，ESI 3篇），EI一篇；获发明专利4项；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。

主要成果
近6年主要成果：
一、主持课题和发明专利：
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(14ZR**),2014.7~2017.6
2.一种电力负荷短期预测方法，专利号ZL6.1，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ZL7.1，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CNB，授权时间2017.7
5.一种冷冻站中央监控系统, 专利号ZL0，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]He Liu,Wanqing Song*&Enrico Zio，Generalized Cauchy difference iterative forecasting model for wind speed based on fractal time series，Nonlinear Dynamics，doi.org/10.1007/s11071-020-06150-z(SCI2区)
[2]He Liu,Wanqing Song*, EnricoZio，Ageneralized cauchy method for remaining usefullife prediction of wind turbine gearboxes，Mechanical Systems and Signal Processing，153(2021)107471（SCI1区， ESI）
[3]Liu He,Song wanqing*，Generalized Cauchy process: difference iterative forecasting model, chaos, solitions & fractals, 2021 in press(SCI:2区)
[4]Deng Juequan,Song wanqing*, A Discrete Increment Model for Electricity Price Forecasting Based on Fractional Brownian Motion,IEEEaccess, DOI: 10.1109/ACCESS.2020.**(SCI:2区)
[5]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)30313-6S1110-0168(20)30313-6
[6]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 /sym**
[7]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,https://doi.org/10.1016/j.measurement.2020.107904(SCI:2区)
[8]He Liu,Wanqing Song*, Ming Li, Aleksey Kudreyko, Enrico Zio, Fractional Lévy stable motion: Finite difference iterative forecasting model, Chaos, Solitons and Fractals,https://doi.org/10.1016/j.chaos. 2020. 109632(SCI:2区)
[9]Wanqing Song*, Xiaoxian Chen, Carlo Cattani and Enrico Zio, Multi-Fractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting，complexity，https://doi.org/10.1155/2020/**(ESI2020.7)
[10]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, https://doi.org/10.1016/j.energy.2019.116847 ( SCI:1区，ESI2020.7)
[11]WanqingSong*，AlekseyA.Kudreyko，NailG.Migranov，Surface effects in the model of polymer-stabilized ferroelectric liquid crystal cells，Indian Journal of Physics，2019,12:1-7
[12]Song, Wanqing*., 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）
[13]Yujin Zhang,Wanqing Song*,Tire Vibration Trend Forecasting via FARIMA and Finite-Element Modal, IEEE Access, 2018（SCI：2区）
[14]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
[15]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）
[16]Wanqing Song*, Nazarova Maria N., Yujin Zhang, Ming Li. Sparse Reconstruction Based on the ADMM and Lasso-LSQR for Bearings Vibration Signals, IEEE Access, 2017, 5: 20083-20088（SCI2区）
[17]Yangde Gao,Wanqing Song*, Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis, Entropy, 2017,19(4)(ESI2020.7)
[18]Wanqing Song*,Sparse Optimization of Vibration Signal by ADMM, Journal of Applied Mathematics, 2017(2017):1-5
[19]Wanqing Song*, Ming Li, Jiankai Liang,Prediction of Bearing Fault Using Fractional Brownian Motion and Minimum Entropy Deconvolution, Entropy, 2016, 18(11):418~433
[20]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
[21]Jiankai Liang, Carlo Cattani,Wanqing Song*, Power Load Prediction Based on Fractal Theory, Advances In Mathematical Physics, 2015. 3
[22]李庆，宋万清*，LMD与非凸罚最小化Lq正则子压缩传感的轴承振动信号重建,中南大学学报，2015, 46(10):3697-3702（EI）
[23]Wingqing Song*, Qing Li,Tool Wear Detection Using Lipschitz Exponent and Harmonic，Mathematical Problems in Engineering，2013
[24]Song Wanqing, Tool State Detection by Harmonic Wavelet and Sample Entropy,CHINESE JOURNAL OF MECHANICAL ENGINEERING(中国机械工程学报),2011, 6(24): ?1068-1073