宋萬清 教授
發布時間📋: 2020-05-22 瀏覽次數🧚: 538





姓  名

宋萬清

性  別


職  稱     

教授

研究方向

狀態監測與故障診斷,電力系統可靠性分析🧑🏼‍🔧,機電一體化控製與現場總線技術大數據處理


通訊地址

上海松江區龍騰路333號行政樓915

郵政編碼

201620

聯系電話

13916842386(微信)

電子郵箱

swqls@126.com



  

北京科技大學自動控製理論與應用專業碩士學位😓,東華大學機械製造及其自動化專業博士學位,2013.1-2014.3在美國弗吉尼亞理工大學高級研究學者,2019.11-2020.10意大利米蘭理工大學高級研究學者。碩士畢業後在中石化儀征化纖集團公司工作,從事大型項目電、儀控製的外商談判👩‍👦‍👦、設計🛍️、安裝🤏🏽、調試和ISO9000慣標文件編寫,獲電氣、儀表高級工程師🛤。200111月調入恒达娱乐,主講25門本科課程👱🏽‍♂️,2門研究生課。2007-2009年,三次應邀赴意大利羅馬大學、佩魯賈大學🧃、薩蘭諾大學做小波、混沌、分形的講學。2010年,作為特聘專家赴約旦進行一項礦山開采控製系統項目的招標與談判👨‍🚒。20185月🚣🏿,應邀到俄羅斯烏法國立石油大學和BRISK大學做學術交流🤴🏽。近年發表性論文80多篇,出版教材一本。擔任多個國際SCI期刊審稿人📀;2017年主持完成上海市自然基金一項; 兼任教育部評審專家👰🏻、上海市科委評審專家、上海市教委評審專家🖊。

6年主要成果

  1. 主持代表性課題和發明專利:

1.主持“壓縮傳感與長相關隨機模型的機械設備運行狀態監測與預測研究”,上海市自然科學基金(14ZR1418500),2014.7-2017.6

2.一種電力負荷短期預測方法,專利號ZL201810542186.1,授權時間2020.7.10

3.一種軸承振動信號稀疏重構的方法🥕,專利號ZL201611154387.1,授權時間2019.2

4.一種基於長相關FARIMA模型的短期電力負荷預測方法,專利號CN104318334B🎿,授權時間2017.7

5.一種冷凍站中央監控系統, 專利號ZL200710172720,授權時間2011.4

二、出版教材

宋萬清等編著數據挖掘鐵道科學出版社🕗,2019.1

三🪈、近年第一作者和通訊作者代表性論文:

[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 & Measurement2021🤰🏽,DOI10.1109/TIM.2021.3063749 SCI2區)

[2]Nonlinear Dynamics, 2021103(1):1-15Ren, LijiaDeng, JuequanSong, 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)

[6]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 LiuFractional Levy Stable and Maximum  Lyapunov Exponent for Wind Speed Prediction🔑,symmetry202012, 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 Forecastingcomplexity🖊,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):116847SCI一區)  ( SCI: 1區,ESI 2021.3)

[12]Wanqing Song🎑,Aleksey A. KudreykoNail G. Migranov♖,Surface effects in the model of polymer-stabilized ferroelectric liquid crystal cells👨🏼‍⚖️,Indian 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, 2018SCI✦:2

[15]李宇飛🧑🏼‍🤝‍🧑🏼,宋萬清*無量綱參數滾動軸承長相關故障趨勢預測👩🏻‍🦼‍➡️,噪聲與振動控製,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, 201810.1SCI🫃🏽:2

[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: 20083-20088SCI♘:2

[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



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