Author

Ruomu Tan

Observed names: Ruo-Mu Tan, Tan, Ruomu

Observed institutions: University of Alberta, ABB (Sweden), ABB (Germany), Imperial College London, Cranfield University, ABB (Switzerland)

ORCID: 0000-0002-9151-7245

Observed ORCID: 0000-0002-9151-7245

OpenAlex ID: A5055207968

Distributed Model Predictive Control for On-Connected Microgrid Power Management

2017 · Yi Zheng, Shaoyuan Li, et al. · IEEE Transactions on Control Systems Technology · 139

A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study

2019 · Anna Stief, Ruomu Tan, et al. · Journal of Process Control · 76

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Approaches to robust process identification: A review and tutorial of probabilistic methods

2018 · Hariprasad Kodamana, Biao Huang, et al. · Journal of Process Control · 60

Developing Industrial CPS: A Multi-Disciplinary Challenge

2021 · Martin Hoffmann, Somayeh Malakuti, et al. · Sensors · 54

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Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring

2019 · Ruomu Tan, James R. Ottewill, et al. · IEEE Transactions on Neural Networks and Learning Systems · 33

An on-line framework for monitoring nonlinear processes with multiple operating modes

2020 · Ruomu Tan, Tian Cong, et al. · Journal of Process Control · 29

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Anomaly Detection and Mode Identification in Multimode Processes Using the Field Kalman Filter

2020 · Tian Cong, Ruomu Tan, et al. · IEEE Transactions on Control Systems Technology · 27

Monitoring Statistics and Tuning of Kernel Principal Component Analysis With Radial Basis Function Kernels

2020 · Ruomu Tan, James R. Ottewill, et al. · IEEE Access · 26

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Deviation Contribution Plots of Multivariate Statistics

2018 · Ruomu Tan, Yi Cao · IEEE Transactions on Industrial Informatics · 23

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PRONTO heterogeneous benchmark dataset

2019 · Stief, Anna, Tan, Ruomu, et al. · Figshare · 11

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Multi-layer Contribution Propagation Analysis for Fault Diagnosis

2018 · Ruo-Mu Tan, Yi Cao · Machine Intelligence Research · 11

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Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics

2018 · Anna Stief, James R. Ottewill, et al. · IFAC-PapersOnLine · 11

Data analytics approach for online produced fluid flow rate estimation in SAGD process

2020 · Shabnam Sedghi, Ruomu Tan, et al. · Computers & Chemical Engineering · 10

Analytics of Heterogeneous Process Data: Multiphase Flow Facility Case Study

2018 · Anna Stief, Ruomu Tan, et al. · IFAC-PapersOnLine · 10

Engineering Challenges in Industrial AI

2024 · Martin Hollender, Chaojun Xu, et al. · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN) · 9

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Active Learning Application for Recognizing Steps in Chemical Batch Production

2022 · Asif Ahmad, Chen Song, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 7

Statistical Monitoring of Processes with Multiple Operating Modes

2019 · Ruomu Tan, Tian Cong, et al. · IFAC-PapersOnLine · 6

Robust soft sensor development using multi-rate measurements

2017 · Ouyang Wu, Hariprasad Kodamana, et al. · IFAC-PapersOnLine · 6

Robustification of Finite Impulse Response Filter for Nonlinear Systems With Model Uncertainties

2023 · Shunyi Zhao, Yingying Li, et al. · IEEE Transactions on Instrumentation and Measurement · 5

A Benchmark Model to Generate Batch Process Data for Machine Learning Testing and Comparison

2022 · Margarida L.C. Vicente, José F.O. Granjo, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 5

Nonlinear Dynamic Process Monitoring: The Case Study of a Multiphase Flow Facility

2017 · Ruomu Tan, Raphael T. Samuel, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 5

Towards a benchmark dataset for large language models in the context of process automation

2024 · Tejennour Tizaoui, Ruomu Tan · Digital Chemical Engineering · 4

Data-driven Modelling for Process Identification with Flat-topped Gaussian Uncertainty

2016 · Tan, Ruomu · ERA: Education and Research Archive (University of Alberta) · 4

Out of Bounds Anomaly Scores (OBAS) in Smart Failure Detection in Variable Frequency Drives

2024 · Artur D. Surówka, Ruomu Tan, et al. · IEEE Transactions on Industry Applications · 3

Performance of Machine-Learning-Based Algorithms for Anomaly Detection in Variable Frequency Drives Using Temperature Signals

2023 · Artur D. Surówka, Ruomu Tan, et al. · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) · 3

Works count: 37

Citation count: 593

H-index: 11

I10-index: 14