Ruomu Tan

16 papers B 1C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identification for ARX models with multiple unknown noise variances: A multitask expectation maximization approach.
J. Frankl. Inst.
Yixuan Chu, Xiaojing Ping, Shunyi Zhao, Chengxi Zhang, Ruomu Tan
2026 J jnl
Navigating Ethical AI Challenges in the Industrial Sector: Balancing Innovation and Responsibility.
CoRR
Ruomu Tan, Martin W. Hoffmann
2025 — conf
GenAI for Robot System Engineering.
CASE
Debora Clever, Ruomu Tan, Florian Stuhlenmiller, Sylvia Maczey, Fan Dai
2024 B conf
Engineering Challenges in Industrial AI.
CAIN
Martin Hollender, Chaojun Xu, Ruomu Tan
2023 J jnl
Robustification of Finite Impulse Response Filter for Nonlinear Systems With Model Uncertainties.
IEEE Trans. Instrum. Meas.
Shunyi Zhao, Yingying Li, Chengxi Zhang, Xiaoli Luan, Fei Liu, Ruomu Tan
2022 C conf
Active Learning Application for Recognizing Steps in Chemical Batch Production.
ETFA
Asif Ahmad, Chen Song, Ruomu Tan, Marco Gärtler, Benjamin Klöpper
2021 J jnl
Anomaly Detection and Mode Identification in Multimode Processes Using the Field Kalman Filter.
IEEE Trans. Control. Syst. Technol.
Tian Cong, Ruomu Tan, James R. Ottewill, Nina F. Thornhill, Jerzy Baranowski
2021 J jnl
Developing Industrial CPS: A Multi-Disciplinary Challenge.
Sensors
Martin W. Hoffmann, Somayeh Malakuti, Sten Grüner, Sören Finster, Jörg Gebhardt, Ruomu Tan, Thorsten Schindler, Thomas Gamer
2021 J jnl
Interactive Change Point Detection using optimisation approach and Bayesian statistics applied to real world applications.
CoRR
Rebecca Gedda, Larisa Beilina, Ruomu Tan
2020 J jnl
Data analytics approach for online produced fluid flow rate estimation in SAGD process.
Comput. Chem. Eng.
Shabnam Sedghi, Ruomu Tan, Biao Huang
2020 J jnl
Monitoring Statistics and Tuning of Kernel Principal Component Analysis With Radial Basis Function Kernels.
IEEE Access
Ruomu Tan, James R. Ottewill, Nina F. Thornhill
2020 J jnl
Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst.
Ruomu Tan, James R. Ottewill, Nina F. Thornhill
2019 J jnl
Deviation Contribution Plots of Multivariate Statistics.
IEEE Trans. Ind. Informatics
Ruomu Tan, Yi Cao
2019 J jnl
Multi-layer Contribution Propagation Analysis for Fault Diagnosis.
Int. J. Autom. Comput.
Ruomu Tan, Yi Cao
2018 J jnl
Distributed Model Predictive Control for On-Connected Microgrid Power Management.
IEEE Trans. Control. Syst. Technol.
Yi Zheng, Shaoyuan Li, Ruomu Tan
2017 — conf
Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhancec canonical variate analysis.
ICAC
Ruomu Tan, Yi Cao