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Bhavana Bhadriraju
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Machine learning-based adaptive model identification of systems: Application to a chemical process
B Bhadriraju, A Narasingam, JSI Kwon
Chemical Engineering Research and Design 152, 372-383, 2019
862019
Operable adaptive sparse identification of systems: Application to chemical processes
B Bhadriraju, MSF Bangi, A Narasingam, JSI Kwon
AIChE Journal 66 (11), e16980, 2020
702020
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)
B Bhadriraju, JSI Kwon, F Khan
Computers & Chemical Engineering 152, 107378, 2021
432021
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry
P Kumari, B Bhadriraju, Q Wang, JSI Kwon
Journal of Process Control 110, 84-98, 2022
352022
OASIS-P: Operable adaptive sparse identification of systems for fault prognosis of chemical processes
B Bhadriraju, JSI Kwon, F Khan
Journal of Process Control 107, 114-126, 2021
352021
A slip-spring framework to study relaxation dynamics of entangled wormlike micelles with kinetic Monte Carlo algorithm
S Pahari, B Bhadriraju, M Akbulut, JSI Kwon
Journal of Colloid and Interface Science 600, 550-560, 2021
312021
Development of parametric reduced-order model for consequence estimation of rare events
P Kumari, B Bhadriraju, Q Wang, JSI Kwon
Chemical Engineering Research and Design 169, 142-152, 2021
192021
An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries
B Bhadriraju, JSI Kwon, F Khan
Computers & Chemical Engineering 175, 108275, 2023
132023
Data-driven modeling of multimode chemical process: Validation with a real-world distillation column
Y Choi, B Bhadriaju, H Cho, J Lim, IS Han, I Moon, JSI Kwon, J Kim
Chemical Engineering Journal 457, 141025, 2023
132023
Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots
B Bhadriraju, JSI Kwon, F Khan
2022 American Control Conference (ACC), 3626-3631, 2022
62022
Dynamic risk-based fault prediction of chemical processes using online sparse model identification
B Bhadriraju, JSI Kwon, F Khan
2021 American Control Conference (ACC), 4964-4969, 2021
52021
10 DATA-DRIVEN ADAPTIVE SPARSE MODELING OF CHEMICAL PROCESS SYSTEMS
B Bhadriaju, JSI Kwon, F Khan
Energy Systems and Processes, 2023
22023
Resilience assessment of chemical processes using operable adaptive sparse identification of systems
B Pawar, B Bhadriraju, F Khan, JSII Kwon, Q Wang
Computers & Chemical Engineering 177, 108346, 2023
12023
A Systematic Approach for Controlling Processes Outside the Training Region of Data-Driven Models
B Bhadriraju, J Kwon, F Khan
2023 AIChE Annual Meeting, 2023
2023
Data-Driven Adaptive Sparse Identification of Time-Varying Nonlinear Dynamics for 2, 3-Bdo Distillation Column
Y Choi, B Bhadriraju, H Cho, J Lim, I Moon, J Kwon, J Kim
2023 AIChE Annual Meeting, 2023
2023
Modeling of Spatiotemporal Temperature Distribution in Hybrid Nanoscale Multifunctional Material for Desorption of CO2
RP Bhavsar, B Bhadriraju, GH Lee, AH Park, J Kwon
2023 AIChE Annual Meeting, 2023
2023
A Data-Driven Model Predictive Control Framework for Optimal Charging of Li-Ion Batteries with Experimental Validation
B Bhadriraju, J Lee, C Yu, J Kwon, F Khan
2022 AIChE Annual Meeting, 2022
2022
Improved Long-Short Term Memory Model for Dynamic and Multimodal Processes Based on K-Means Clustering: Application to an Industrial 2, 3-Bdo Distillation Process
Y Choi, B Bhadriraju, H Cho, J Lim, I Moon, J Kwon, J Kim
2022 AIChE Annual Meeting, 2022
2022
Data-Driven Predictive Control of Two-Timescale Dynamics: Application to a Battery System
B Bhadriraju, J Kwon, F Khan
2022 AIChE Annual Meeting, 2022
2022
Handling cyclic loops for accurate root cause diagnosis of rare events in chemical processes using modified Bayesian network
P Kumari, B Bhadriraju, Q Wang, JSI Kwon
2022 American Control Conference (ACC), 4292-4297, 2022
2022
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학술자료 1–20