宋万清 教授

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月调入维多利亚vic115优惠大厅,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. 主持代表性课题和发明专利：

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(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