王凯

特聘副教授 硕士生导师

入职时间:2019-06-28

所在单位:自动化学院

职务:Associate Professor

学历:博士研究生毕业

办公地点:校本部升华后楼507

性别:男

联系方式:kaiwang@csu.edu.cn

学位:博士学位

在职信息:在职

毕业院校:浙江大学

学科:控制科学与工程

研究领域

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(一)数据驱动的闭环过程故障诊断技术:系统性地分析了反馈控制对经典数据驱动故障诊断技术的影响,提出了以反馈不变量及输出过采样为代表的解决方案. 代表论文:

1. Kai Wang, Junghui Chen*, Zhihuan Song*, .“Performance analysis of dynamic PCA for closed-Loop process monitoring and its improvement by output oversampling scheme.” IEEE Transactions on Control Systems Technology, 2019,27(1) :378-385. 

2. Kai Wang, Junghui Chen*, Zhihuan Song*.”Data-driven sensor fault diagnosis systems for linear feedback control loops.” Jounal of Process Control,2017,  54 : 152-171.

3. Kai Wang, Junghui Chen*,Zhihuan Song*.”A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method.”Journal of the Franklin Institute, 2018, 355(14) ;6675-6692.

4. Kai Wang, Junghui Chen*,Zhihuan Song*.“Fault diagnosis for processes with feedback control loops by shifed output sampling approach.” Journal of the Franklin Institute, 2018,355(7) : 3249-3273. 

(二)复杂动态过程建模与应用,如动态过程数据的模态识别与分割,动态批次过程监测等. 代表论文:

1. Kai Wang, Junghui Chen*,Zhihuan Song*.“Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems with Measured Disturbances.”IEEE Transactions on Automation Science and Engineering, 2018 (Online)

2. Kai Wang, Junghui Chen*, Zhihuan Song*, .”Using Multivariate Pattern Segmentation to Assess Process Performance and Mine Good Operation Conditions for Dynamic Chemical Industry.” Chemical Engineering Science, 2019,201,339-348

3. Kai Wang, Bhushan Gopaluni,Junghui Chen*,Zhihuan Song*.“Data-Driven Dynamic Modeling and Online Monitoring for Multiphase and Multimode Batch Processes with Uneven Batch Durations.” Industrial & Engineering Chemistry Research (Online) 

(三)深度学习在工业智能相关的应用. 代表论文:

1. Kai Wang, Bhushan Gopaluni,Junghui Chen*, Zhihuan Song*.“Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction.”  IEEE Transactions on Industrial Informatics,2018(Online)

2.  Kai Wang, Michael Forbes, Bhushan Gopaluni, Junghui Chen*, Zhihuan Song*.”Systematical Development of a New Variational Autoencoder Model  Based  on Uncertainty Data for Monitoring Nonlinear Processes” IEEE Access,7 (2019): 22554-22565.

3. Weiming Shao, Zhiqiang Ge, Zhihuan Song,Kai Wang, Nonlinear industrial soft sensor development based on semi-supervised probabilistic mixture of extreme learning machines. Control Engineering Practice,2019,91,104098