Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhancec canonical variate analysis. - Ruomu Tan; Yi Cao 002 (ICAC, 2017)

Distributed Model Predictive Control for On-Connected Microgrid Power Management. - Yi Zheng 001; Shaoyuan Li; Ruomu Tan (IEEE Trans. Control. Syst. Technol., 2018)

Multi-layer Contribution Propagation Analysis for Fault Diagnosis. - Ruomu Tan; Yi Cao 002 (Int. J. Autom. Comput., 2019)

Deviation Contribution Plots of Multivariate Statistics. - Ruomu Tan; Yi Cao 002 (IEEE Trans. Ind. Informatics, 2019)

Monitoring Statistics and Tuning of Kernel Principal Component Analysis With Radial Basis Function Kernels. - Ruomu Tan; James R. Ottewill; Nina F. Thornhill (IEEE Access, 2020)

Data analytics approach for online produced fluid flow rate estimation in SAGD process. - Shabnam Sedghi; Ruomu Tan; Biao Huang 001 (Comput. Chem. Eng., 2020)

Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring. - Ruomu Tan; James R. Ottewill; Nina F. Thornhill (IEEE Trans. Neural Networks Learn. Syst., 2020)

Interactive Change Point Detection using optimisation approach and Bayesian statistics applied to real world applications. - Rebecca Gedda; Larisa Beilina; Ruomu Tan (CoRR, 2021)

Developing Industrial CPS: A Multi-Disciplinary Challenge. - Martin W. Hoffmann; Somayeh Malakuti; Sten Grüner; Sören Finster; Jörg Gebhardt; Ruomu Tan; Thorsten Schindler; Thomas Gamer (Sensors, 2021)

Anomaly Detection and Mode Identification in Multimode Processes Using the Field Kalman Filter. - Tian Cong; Ruomu Tan; James R. Ottewill; Nina F. Thornhill; Jerzy Baranowski (IEEE Trans. Control. Syst. Technol., 2021)

Active Learning Application for Recognizing Steps in Chemical Batch Production. - Asif Ahmad; Chen Song; Ruomu Tan; Marco Gärtler; Benjamin Klöpper (ETFA, 2022)

Robustification of Finite Impulse Response Filter for Nonlinear Systems With Model Uncertainties. - Shunyi Zhao; Yingying Li; Chengxi Zhang; Xiaoli Luan; Fei Liu 001; Ruomu Tan (IEEE Trans. Instrum. Meas., 2023)

Engineering Challenges in Industrial AI. - Martin Hollender; Chaojun Xu; Ruomu Tan (CAIN, 2024)