主要成果 | 近6年主要成果： 一、主持代表性课题和获批发明专利： 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.基于FBM的长相关模型的轴承内圈故障剩余寿命预测方法，专利号ZL201910683262.5，授权时间：2021.5.11 3.一种电力负荷短期预测方法，专利号ZL201810542186.1，授权时间2020.7.10 4.一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 5.一种基于长相关FARIMA模型的短期电力负荷预测方法，专利号CN104318334B，授权时间2017.7 6.一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]Duan S,Song, W Q*, Zio E, Cattani C,Li M，Product technical life prediction based on multi-modes and fractional Lévy stable motion，Mechanical Systems and Signal Processing，2021,161(12):107974（SCI:1区） [2]He Liu,Wanqing Song*,EnricoZio, Metabolism and difference iterative forecasting model based on long-range dependent and grey for gearbox reliability, ISA transactions, 2021, https://www.sciencedirect.com/science/article/pii/S0019057821002573?dgcid=author, （SCI: 2区） [3]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） [4]Liu H, SongW Q*, Zio E. Generalized Cauchy Difference Iterative Forecasting Model for Wind Speed Based on Fractal Time Series[J]. Nonlinear Dynamics, 2021, 103(1):1-15（SCI: 2区） [5] 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） [6]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（SCI：2区） [7]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) [8]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 [9]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 [10] 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，ESI) [11]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） [12]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) [13]Song WQ*, 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) [14]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 [15]Song, WQ*., 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） [16]Yujin Zhang,Wanqing Song*, Tire Vibration Trend Forecasting via FARIMA and Finite-Element Modal, IEEE Access, 2018（SCI：2区） [17]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 [18]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） [19]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） [20]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) [21]Wanqing Song*, Sparse Optimization of Vibration Signal by ADMM, Journal of Applied Mathematics, 2017(2017):1-5 [22]Wanqing Song*, Ming Li, Jiankai Liang, Prediction of Bearing Fault Using Fractional Brownian Motion and Minimum Entropy Deconvolution, Entropy, 2016, 18(11):418~433 [23]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 [24]Jiankai Liang, Carlo Cattani, Wanqing Song*, Power Load Prediction Based on Fractal Theory, Advances in Mathematical Physics, 2015. 3 [25]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） [26]Wingqing Song*, Qing Li, Tool Wear Detection Using Lipschitz Exponent and Harmonic，Mathematical Problems in Engineering(中国机械工程学报)，2011，6（24）：1068-1073 欢迎立志报考博士的同学申报我的硕士研究生！
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