Just-in-time based soft sensors for process industries: A status report and recommendations
Soft sensors are mathematical models employed to estimate hard-to-measure variables from
available easy-to-measure variables. These sensors are typically developed using either …
available easy-to-measure variables. These sensors are typically developed using either …
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift
X Zhang, C Song, J Zhao, D **-**/publication/265604193_Adaptive_soft_sensor_modeling_framework_based_on_just-in-time_learning_and_kernel_partial_least_squares_regression_for_nonlinear_multiphase_batch_processes/links/5cf0042fa6fdcc8475f89f85/Adaptive-soft-sensor-modeling-framework-based-on-just-in-time-learning-and-kernel-partial-least-squares-regression-for-nonlinear-multiphase-batch-processes.pdf" data-clk="hl=pl&sa=T&oi=gga&ct=gga&cd=5&d=1498197127385411323&ei=q-GtZ_qyC-ehieoP4b3H4A0" data-clk-atid="-25RfVmqyhQJ" target="_blank">[PDF] researchgate.net
Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes
H **, X Chen, J Yang, L Wu - Computers & Chemical Engineering, 2014 - Elsevier
Batch processes are characterized by inherent nonlinearity, multiple phases and time-
varying behavior that pose great challenges for accurate state estimation. A multiphase just …
varying behavior that pose great challenges for accurate state estimation. A multiphase just …
Adaptive virtual metrology design for semiconductor dry etching process through locally weighted partial least squares
T Hirai, M Kano - IEEE Transactions on Semiconductor …, 2015 - ieeexplore.ieee.org
In semiconductor manufacturing processes, virtual metrology (VM) has been investigated as
a promising tool to predict important characteristics of products. Although partial least …
a promising tool to predict important characteristics of products. Although partial least …
Multi‐similarity measurement driven ensemble just‐in‐time learning for soft sensing of industrial processes
Just‐in‐time learning (JITL) technique has been widely used for adaptive soft sensing of
nonlinear processes. It builds online local model with the most relevant samples from …
nonlinear processes. It builds online local model with the most relevant samples from …
Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes
H **, X Chen, J Yang, H Zhang, L Wang… - Chemical Engineering …, 2015 - Elsevier
Batch processes are often characterized by inherent nonlinearity, multiplicity of operating
phases, and batch-to-batch variations, which poses great challenges for accurate and …
phases, and batch-to-batch variations, which poses great challenges for accurate and …
[HTML][HTML] Covariance-based locally weighted partial least squares for high-performance adaptive modeling
K Hazama, M Kano - Chemometrics and Intelligent Laboratory Systems, 2015 - Elsevier
Locally weighted partial least squares (LW-PLS) is one of Just-in-Time (JIT) modeling
methods; PLS is used to build a local linear regression model every time when output …
methods; PLS is used to build a local linear regression model every time when output …