most citedA sensitivity-based approach to optimal sensor selection for process networks

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023

State estimation of a carbon capture process through POD model reduction and neural network approximation

Siyu Liu, Xunyuan Yin, Jinfeng Liu

This paper presents an efficient approach for state estimation of post-combustion CO2 capture plants (PCCPs) by using reduced-order neural network models. The method involves extra…

eess.SY2023

Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness

Siyu Liu, Xunyuan Yin, Jinfeng Liu

State estimation is crucial for the monitoring and control of post-combustion CO2 capture plants (PCCPs). The performance of state estimation is highly reliant on the configuration…

eess.SY2022

Advisory Tool for Managing Failure Cascades in Systems with Wind Power

Siyu Liu, Marija Ilic

This paper concerns the resilience of systems with wind power upon wind reduction by evaluating the potential of corrective actions, such as generation and load dispatch, on minimi…

eess.SY2022

Towards Statistical Methods for Minimizing Effects of Failure Cascades

Siyu Liu, Marija Ilic

This paper concerns the potential of corrective actions, such as generation and load dispatch on minimizing the effects of transmission line failures in electric power systems. Thr…

eess.SY2022★ 2 cited

A sensitivity-based approach to optimal sensor selection for process networks

Siyu Liu, Xunyuan Yin, Zhichao Pan +1

Sensor selection is critical for state estimation, control and monitoring of nonlinear processes. However, evaluating the performance of each possible combination of out of …