有缺失值的统计过程监控

一、项目描述

Kernel Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data.

IEEE Transactions on Industrial Informatics. 2021. DOI:10.1109/TII.2021.3119377.

二、主要痛点

（1）Nonlinear processing monitoring is sensitive to missing data；

（2）Online monitoring requires efficient method.

三、解决方案

FINLMC: Fast Incremental Nonlinear Matrix Completion

四、主要贡献/价值

（1）Online missing data imputation;

（2）Stable method for process monitoring;

（3）Low false alarm rate;

（4）High fault detection rate.

五、团队成员

Jicong Fan, Tommy W.S. Chow, S. Joe Qin.

•Numerical results

科研项目