Causal analysis for alarm flood reduction V Rodrigo, M Chioua, T Hagglund, M Hollender IFAC-PapersOnLine 49 (7), 723-728, 2016 | 65 | 2016 |
Advances in alarm data analysis with a practical application to online alarm flood classification M Lucke, M Chioua, C Grimholt, M Hollender, NF Thornhill Journal of Process Control 79, 56-71, 2019 | 56 | 2019 |
Dependence of the error in the optimal solution of perturbation‐based extremum seeking methods on the excitation frequency M Chioua, B Srinivasan, M Guay, M Perrier The Canadian Journal of Chemical Engineering 85 (4), 447-453, 2007 | 35 | 2007 |
Modeling machine health using gated recurrent units with entity embeddings and k-means clustering I Amihai, M Chioua, R Gitzel, AM Kotriwala, D Pareschi, G Sosale, ... 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 31 | 2018 |
Performance improvement of extremum seeking control using recursive least square estimation with forgetting factor M Chioua, B Srinivasan, M Guay, M Perrier IFAC-PapersOnLine 49 (7), 424-429, 2016 | 28 | 2016 |
Fault detection and identification combining process measurements and statistical alarms M Lucke, A Stief, M Chioua, JR Ottewill, NF Thornhill Control Engineering Practice 94, 104195, 2020 | 27 | 2020 |
Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine M Chioua, M Bauer, SL Chen, JC Schlake, G Sand, W Schmidt, ... Control Engineering Practice 49, 149-158, 2016 | 23 | 2016 |
Improving root cause analysis by detecting and removing transient changes in oscillatory time series with application to a 1, 3-butadiene process B Zhou, M Chioua, M Bauer, JC Schlake, NF Thornhill Industrial & Engineering Chemistry Research 58 (26), 11234-11250, 2019 | 20 | 2019 |
Integrating plant and process information as a basis for automated plant diagnosis tasks E Arroyo, A Fay, M Chioua, M Hoernicke Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014 | 20 | 2014 |
Diagnosis of oscillations in an industrial mineral process using transfer entropy and nonlinearity index B Lindner, M Chioua, JWD Groenewald, L Auret, M Bauer IFAC-PapersOnLine 51 (24), 1409-1416, 2018 | 19 | 2018 |
An on-line SAX and HMM-based anomaly detection and visualization tool for early disturbance discovery in a dynamic industrial process C Yiakopoulos, K Gryllias, M Chioua, M Hollender, I Antoniadis Journal of Process Control 44, 134-159, 2016 | 19 | 2016 |
Online alarm flood classification using alarm coactivations M Lucke, M Chioua, C Grimholt, M Hollender, NF Thornhill IFAC-PapersOnLine 51 (18), 345-350, 2018 | 17 | 2018 |
Practical methods for detecting and removing transient changes in univariate oscillatory time series B Zhou, M Chioua, JC Schlake IFAC-PapersOnLine 50 (1), 7987-7992, 2017 | 14 | 2017 |
Integration of alarm design in fault detection and diagnosis through alarm-range normalization M Lucke, M Chioua, C Grimholt, M Hollender, NF Thornhill Control Engineering Practice 98, 104388, 2020 | 12 | 2020 |
Variable selection for fault detection and identification based on mutual information of alarm series M Lucke, X Mei, A Stief, M Chioua, NF Thornhill IFAC-PapersOnLine 52 (1), 673-678, 2019 | 11 | 2019 |
On improving fault detection and diagnosis using alarm-range normalisation M Lucke, M Chioua, C Grimholt, M Hollender, NF Thornhill IFAC-PapersOnLine 51 (24), 1227-1232, 2018 | 9 | 2018 |
From oscillatory to non-oscillatory disturbances: A comparative review of root cause analysis methods M Lucke, M Chioua, NF Thornhill Journal of Process Control 113, 42-67, 2022 | 8 | 2022 |
Reusable big data system for industrial data mining-a case study on anomaly detection in chemical plants R Borrison, B Klöpper, M Chioua, M Dix, B Sprick Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 8 | 2018 |
Effect of excitation frequency in perturbation-based extremum seeking methods M Chioua, B Srinivasan, M Perrier, M Guay IFAC Proceedings Volumes 40 (5), 123-128, 2007 | 8 | 2007 |
Forecasting of process disturbances using k-nearest neighbours, with an application in process control F Borghesan, M Chioua, NF Thornhill Computers & Chemical Engineering 128, 188-200, 2019 | 7 | 2019 |