宋万清 教授
发布时间: 2020-05-22 浏览次数: 192





姓  名

宋万清

性  别


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



  

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。200111月调入9721见好就收才是赢电子网站,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。20185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。

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 & Measurement2021DOI10.1109/TIM.2021.3063749 SCI2区)

[2]Liu HSongW Q*, Zio E. Generalized Cauchy Difference IterativeForecasting Model for Wind Speed Based on Fractal Time Series[J]. , 2021103(1):1-15SCI: 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 Processing2021, 153(15):107471SCI:1区)

[4]Ren, LijiaDeng, JuequanSong, Wanqing,[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)

[6]Fei WuCarlo CattaniWanqing Song*EnricoZioFractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecastingAlexandria Engineering JournalAvailable online 7 July 2020

[7]Shouwu Duan, Wanqing Song, Carlo Cattani*, Yakufu Yasen and He LiuFractional Levy Stable and Maximum  Lyapunov Exponent for Wind Speed Predictionsymmetry202012, 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, Measurement2020, 161(9):107904(SCI: 2)

[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):109632SCI:2,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 Forecastingcomplexity2020(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):116847SCI一区)  ( SCI: 1区,ESI 2021.3)

[12]Wanqing SongAleksey A. KudreykoNail G. MigranovSurface effects in the model of polymer-stabilized ferroelectric liquid crystal cellsIndian Journal of Physics2019,12:1-7

[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): 347-355SCI2

[14]Yujin Zhang,Wanqing Song*Tire Vibration Trend Forecasting via FARIMA and Finite-Element Modal, IEEE Access, 2018SCI2

[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, 201810.1SCI2

[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: 20083-20088SCI2

[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