余万科 - 中国地质大学(武汉)

个人简介

男，1991年生，中国地质大学（武汉）自动化学院特任教授、“地大学者”青年拔尖人才（A类）。2020年在浙江大学控制科学与工程学院获得博士学位，自2018年至今先后发表一作IEEE汇刊文章 9 篇（包括：3 篇IEEE TCST，2 篇IEEE TIE，2 篇IEEE TII，1 篇IEEE TC，1 篇IEEE TASE）和IFAC旗舰期刊JPC文章 1 篇，并在控制领域顶级会议IFAC世界大会和IEEE CDC的分组报告上宣读论文。为IEEE TCST、CEP、JPC、IEEE TC、IEEE TNNLS、IEEE TII、Neurocomputing等期刊审稿，并获得Control Engineering Practice期刊2019年度Best Reviewer和2020年度Top Reviewer，和Neurocomputing期刊2018年度Outstanding Reviewer。教育及工作经历 2020年11月~ 至今：中国地质大学（武汉）自动化学院特任教授 2016年09月~2020年09月：浙江大学控制科学与工程学院控制理论与控制工程博士学位 2013年09月~2016年06月：北京航空航天大学宇航学院模式识别与智能系统硕士学位 2009年09月~2013年06月：东北大学理学院信息与计算科学学士学位 2018年12月~2019年06月：加拿大阿尔伯塔大学化学与材料工程系过程控制访问博士研究项目 Ø 面向高端发电装备的远程智能运维系统研发及应用，浙江省重点研发项目（No. 2019C01048）, 2019.01-2021.12，参与 Ø 基于大数据与人工智能的智慧电梯安全预警防控关键技术研发与应用，浙江省重点研发项目（No. 2019C03100），2019.01-2021.12，参与 Ø 百万千瓦超超临界机组的精细状态监测、故障诊断与自愈调控关键技术研究，NSFC-浙江省两化融合基金（No. U1709211），2018.01-2021.12，参与 Ø 间歇过程高效运行的建模控制方法及应用，国家自然科学基金重点项目（NSFC No. 61433005），2015.01-2019.12，参与学术服务（审稿工作） Ø Control Engineering Practice (Best Reviewer, 2019; Top Reviewer, 2020) Ø Neurocomputing (Outstanding Reviewer, 2018) Ø IEEE Transactions on Cybernetics Ø IEEE Transactions on Neural Networks and Learning Systems Ø IEEE Transactions on Control Systems Technology Ø IEEE Transactions on Industrial Informatics Ø Journal of Process Control Ø 2019 IEEE Conference on Decision and Control

研究领域

复杂工业过程数据解析与智能监控，包括：状态监测、变量隔离、故障诊断和质量预测等方面，主要涉及概率图模型、深度神经网络、非凸优化等方法

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

期刊论文 Ø Wanke Yu, Chunhui Zhao, Biao Huang. MoniNet with Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3050398. Ø Wanke Yu, Chunhui Zhao, Biao Huang. Recursive Cointegration Analytics for Adaptive Monitoring of Nonstationary Industrial Processes with both Static and Dynamic Variations, Journal of Process Control, vol. 92, pp. 319-332, 2020. Ø Wanke Yu, Chunhui Zhao. Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection with Missing Data, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.2990975. Ø Wanke Yu, Chunhui Zhao, Biao Huang. Stationary Subspace Analysis based Hierarchical Model for Batch Processes Monitoring, IEEE Transactions on Control Systems Technology, vol. 29, no. 1, pp. 444-453, 2021. Ø Wanke Yu, Chunhui Zhao. Broad Convolutional Neural Network based Industrial Process Fault Diagnosis with Incremental Learning Capability, IEEE Transactions on Industrial Electronics, vol. 67, no. 6, pp. 5081-5091, 2020. Ø Wanke Yu, Chunhui Zhao. Recursive Exponential Slow Feature Analysis for Fine-scale Adaptive Processes Monitoring with Comprehensive Operation Status Identification, IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3311-3323, 2019. (highly cited) Ø Wanke Yu, Chunhui Zhao. Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes using Denoising Autoencoder and Elastic Net, IEEE Transactions on Control Systems Technology, vol. 28, no. 3, pp. 1083-1091, 2020. (highly cited) Ø Wanke Yu, Chunhui Zhao. Online Fault Diagnosis for Industrial Processes with Bayesian Network based Probabilistic Ensemble Learning Strategy, IEEE Transactions on Automation Science and Engineering, vol. 16, no. 4, pp. 1922-1932, 2019. Ø Wanke Yu, Chunhui Zhao. Online Fault Diagnosis in Industrial Processes using Multi-model Exponential Discriminant Analysis Algorithm, IEEE Transactions on Control Systems Technology, vol. 27, no. 3, pp. 1317-1325, 2019. Ø Wanke Yu, Chunhui Zhao. Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis, IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5931-5940, 2018. (highly cited) Ø Chunhui Zhao, Wanke Yu, Furong Gao, Data Analytics and Condition Monitoring Methods for Nonstationary Batch Processes - Current Status and Future, Acta Automatica Sinica, vol. 46, no. 10, pp. 2072-2091, 2020. Ø Jihao Yin, Wanke Yu, Xiuping Jia. Hybrid Norm Pursuit Method for Hyperspectral Image Reconstruction, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 4492-4500, 2016. 会议论文 Ø Wanke Yu, Chunhui Zhao. A Multi-Model Exponential Discriminant Analysis Algorithm for Online Probabilistic Diagnosis of Time-Varying Faults. 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, December 12-15, 5751-5756, 2017 Ø Wanke Yu, Chunhui Zhao, Shumei Zhang. A Two-step Parallel Phase Partition Algorithm for Monitoring Multiphase Batch Processes with Limited Batches. The 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France, July 9-14, pp. 2750-2755, 2017. Ø Wanke Yu, Chunhui Zhao. Sparse Exponential Discriminant Analysis, 36th Chinese Control Conference (CCC), Dalian, China, July 27-29, pp. 10880-10885, 2017. Ø Jihao Yin, Wanke Yu, Zetong Gu, Chao Gao. Segmentation and Classfication of Hyperspectral Images using Kendall Concordant Coefficient, 2014 IEEE Geoscience and Remote Sensing Symposium, pp. 2891-2897, DOI: 10.1109/IGARSS.2014.6947081. Ø Chao Gao, Lingling Su, Wanke Yu. Long-Term Spreading of Gaussian Beam using Generalized Modified Atmospheric Spectrum, 2015 IEEE International Conference on Mechatronics and Automation, pp. 2375-2380, DOI: 10.1109/ICMA.2015.7237858. Ø Jihao Yin, Bingnan Han, Wanke Yu, Hyperspectral Image Target Detection based on Exponential Smoothing Method, 2015 IEEE International Geoscience and Remote Sensing Symposium, pp. 1869-1872, DOI: 10.1109/IGARSS.2015.7326157.