DAIS Lab Publications

1. Journal Paper
   Data-driven Dynamic Inferential Sensors Based on Causality Analysis
   Liang Cao, Feng Yu, Fan Yang, Yankai Cao, R. Bhushan Gopaluni
   Control Engineering Practice. 2020 [PDF]
2. Journal Paper
   A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy
   Yi Luo, R. Bhushan Gopaluni, Yuan Xu, Liang Cao, Qun-Xiong Zhu
   Industrial & Engineering Chemistry Research. 2020 [PDF]
3. Journal Paper
   Determining the amount of 'green' coke generated when co-processing lipids commercially by fluid catalytic cracking (FCC)
   Jianping Su, Liang Cao, Gary Lee, Bhushan Gopaluni, Don O’Connor, Susan van Dyk, Robert Pinchuk, Jack Saddler
   Biofuels, Bioproducts and Biorefining. 2021 [PDF]
4. Conference Proceedings
   Online Capacity Estimation of Lithium-ion Batteries by Partial Incremental Capacity Curve
   Yixiu Wang, Jiangong Zhu, Liang Cao, Bhushan Gopaluni, Yankai Cao
   Proceedings of the 19th IEEE Vehicle Power and Propulsion Conference (To Appear). 2022 [PDF]
5. Conference Proceedings
   Soft Sensor Change Point Detection and Root Cause Analysis
   Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li
   Society of Instrument and Control Engineers (SICE) Annual Conference, Kumamoto, Japan (To Appear). 2022 [PDF] [Slides]
6. Journal Paper
   Causal Discovery based on Observational Data and Process Knowledge in Industrial Processes
   Liang Cao, Jianping Su, Yixiu Wang, Yankai Cao, Lim C. Siang, Jin Li, Jack Nicholas Saddler, and Bhushan Gopaluni
   Industrial & Engineering Chemistry Research. 2022 [PDF]
7. Journal Paper
   Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC): combining isotope ¹⁴C and causal discovery analysis
   Jianping Su, Liang Cao, Gary Lee, Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Susan van Dyk, Robert Pinchuk, Jack Saddler
   Sustainable Energy & Fuels. 2022 [PDF]
8. Conference Proceedings
   Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
   Liang Cao, Xiaolu Ji, Yankai Cao, Yupeng Li, Lim C. Siang, Jin Li, Vijay Kumar Pediredla, R. Bhushan Gopaluni
   In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video]
9. Conference Proceedings
   Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation
   Yupeng Li, Wenkai Hu, Weihua Cao, Bhushan Gopaluni, Liang Cao, Chao Gan, Min Wu
   In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video]
10. Journal Paper
    Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction
    Yixiu Wang, Jiangong Zhu, Liang Cao, Bhushan Gopaluni, Yankai Cao
    Applied Energy. 2023 [PDF]
11. Journal Paper
    False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis
    Yupeng Li, Weihua Cao, R. Bhushan Gopaluni , Wenkai Hua, Liang Cao, Min Wu
    Control Engineering Practice. 2023 [PDF]
12. Journal Paper
    Adaptive Online Optimization of Alarm Thresholds using Multilayer Bayesian Networks and Active Transfer Entropy
    Yi Luo, Bhushan Gopaluni, Liang Cao, Yongjian Wang, Jian Cheng
    Control Engineering Practice. 2023 [PDF]
13. Journal Paper
    A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
    Yixiu Wang, Jiangong Zhu, Liang Cao, Jianfeng Liu, Pufan You, Bhushan Gopaluni, and Yankai Cao
    Industrial and Engineering Chemistry Research. 2024 [PDF]
14. Journal Paper
    Real-Time Tracking of Renewable Carbon Content with AI-aided Approaches During Co-Processing of Biofeedstocks
    Liang Cao, Jianping Su, Jack Saddler, Yankai Cao, Yixiu Wang, Gary Lee, Lim C. Siang, Robert Pinchuk, Jin Li, R. Bhushan Gopaluni
    Applied Energy. 2024 [PDF]