| Data-driven dynamic modeling and online monitoring for multiphase and multimode batch processes with uneven batch durations K Wang, L Rippon, J Chen, Z Song, RB Gopaluni Industrial & Engineering Chemistry Research 58 (30), 13628-13641, 2019 | 22 | 2019 |
| Representation learning and predictive classification: Application with an electric arc furnace LD Rippon, I Yousef, B Hosseini, A Bouchoucha, JF Beaulieu, C Prévost, ... Computers & Chemical Engineering 150, 107304, 2021 | 10 | 2021 |
| Machine direction adaptive control on a paper machine LD Rippon, Q Lu, MG Forbes, RB Gopaluni, PD Loewen, JU Backström Industrial & Engineering Chemistry Research 58 (26), 11452-11473, 2019 | 8 | 2019 |
| Pattern and knowledge extraction using process data analytics: A tutorial Y Tsai, Q Lu, L Rippon, S Lim, A Tulsyan, B Gopaluni IFAC-PapersOnLine 51 (18), 13-18, 2018 | 7 | 2018 |
| Moving-horizon predictive input design for closed-loop identification M Yousefi, LD Rippon, MG Forbes, RB Gopaluni, PD Loewen, GA Dumont, ... IFAC-PapersOnLine 48 (8), 135-140, 2015 | 5 | 2015 |
| The arc loss challenge: A novel industrial benchmark for process analytics and machine learning I Yousef, LD Rippon, C Prévost, SL Shah, RB Gopaluni Journal of Process Control 128, 103023, 2023 | 4 | 2023 |
| Cross-directional controller performance monitoring for paper machines Q Lu, LD Rippon, RB Gopaluni, MG Forbes, PD Loewen, J Backstrom, ... 2015 American Control Conference (ACC), 4970-4975, 2015 | 4 | 2015 |
| Visualization of multiscale ring formation in a rotary kiln L Rippon, B Hirtz, C Sheehan, T Reinheimer, P Loewen, B Gopaluni Nordic Pulp & Paper Research Journal 36 (4), 549-558, 2021 | 2 | 2021 |
| Process analytics and machine learning to predict arc loss in an electric arc furnace L Rippon, I Yousef, RB Gopaluni, B Hosseini, B JF, C Prévost, SL Shah 59th Conference of Metallurgists 2020 Hosting the 4th International Uranium …, 2020 | 2 | 2020 |
| Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics LC Siang, S Elnawawi, LD Rippon, DL O'Connor, RB Gopaluni IFAC-PapersOnLine 56 (2), 7992-7999, 2023 | 1 | 2023 |
| Applications of process analytics and machine learning in pyrometallurgy and kraft pulping LD Rippon University of British Columbia, 2023 | | 2023 |
| Closed-loop model parameter identification techniques for industrial model-based process controllers Q Lu, LD Rippon, RB Gopaluni, MG Forbes, PD Loewen, JU Backstrom, ... US Patent 10,761,522, 2020 | | 2020 |
| Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines Q Lu, LD Rippon, RB Gopaluni, MG Forbes, PD Loewen, J Backström, ... 2017 American Control Conference (ACC), 2837-2842, 2017 | | 2017 |
| Sheet profile estimation and machine direction adaptive control L Rippon University of British Columbia, 2017 | | 2017 |
| Detection and Diagnosis of Ring Formation in Rotary Lime Kilns LD Rippon, B Hirtz, C Sheehan, T Reinheimer, C van der Merwe, ... | | |
| REPRESENTATION LEARNING FOR INFERENTIAL SENSOR DEVELOPMENT IN AN ELECTRIC ARC FURNACE LD Rippon, I Yousef, JF Beaulieu, M Ruel, SL Shah, RB Gopaluni Power (MW) 1, 12, 0 | | |
