[HTML][HTML] Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era
Safe, efficient, and sustainable operations and control are primary objectives in industrial
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …
Fault detection for nonlinear process with deterministic disturbances: A just-in-time learning based data driven method
Data-driven fault detection plays an important role in industrial systems due to its
applicability in case of unknown physical models. In fault detection, disturbances must be …
applicability in case of unknown physical models. In fault detection, disturbances must be …
Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach
HK Mohanta, AK Pani - Applied Soft Computing, 2022 - Elsevier
Real time estimation of target quality variables using soft sensor relevant to time varying
process conditions will be a significant step forward in effective implementation of Industry …
process conditions will be a significant step forward in effective implementation of Industry …
Predicting fuel properties using chemometrics: a review and an extension to temperature dependent physical properties by using infrared spectroscopy to predict …
Although the use of chemometric methods to predict fuel quality properties has received
wide attention over the past three decades, as seen from the review included with this …
wide attention over the past three decades, as seen from the review included with this …
Adaptive soft sensor development based on online ensemble Gaussian process regression for nonlinear time-varying batch processes
H Jin, X Chen, L Wang, K Yang… - Industrial & Engineering …, 2015 - ACS Publications
Traditional soft sensors may be ill-suited for batch processes because they cannot efficiently
handle process nonlinearity and/or time-varying changes as well as provide the prediction …
handle process nonlinearity and/or time-varying changes as well as provide the prediction …
A spatial-temporal LWPLS for adaptive soft sensor modeling and its application for an industrial hydrocracking process
X Yuan, J Zhou, Y Wang - Chemometrics and Intelligent Laboratory …, 2020 - Elsevier
Locally weighted partial least squares (LWPLS) is a widely used just-in-time learning (JITL)
modeling algorithm for adaptive soft sensor development. In LWPLS, spatial variable …
modeling algorithm for adaptive soft sensor development. In LWPLS, spatial variable …
Spectroscopic models for real‐time monitoring of cell culture processes using spatiotemporal just‐in‐time Gaussian processes
A Tulsyan, H Khodabandehlou, T Wang… - AIChE …, 2021 - Wiley Online Library
Spectroscopic methods play an instrumental role in the implementation of the US Food and
Drug Administration outlined process analytical technology for biopharmaceutical …
Drug Administration outlined process analytical technology for biopharmaceutical …
Ensemble just-in-time learning framework through evolutionary multi-objective optimization for soft sensor development of nonlinear industrial processes
Just-in-time learning (JIT) has recently gained growing popularity for soft sensor
development of nonlinear processes. However, traditional JIT methods aim to pursue a …
development of nonlinear processes. However, traditional JIT methods aim to pursue a …
[HTML][HTML] Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit
HK Mohanta, AK Pani - Petroleum Science, 2021 - Elsevier
Prediction of primary quality variables in real time with adaptation capability for varying
process conditions is a critical task in process industries. This article focuses on the …
process conditions is a critical task in process industries. This article focuses on the …
Online local learning based adaptive soft sensor and its application to an industrial fed-batch chlortetracycline fermentation process
H Jin, X Chen, J Yang, L Wang, L Wu - Chemometrics and Intelligent …, 2015 - Elsevier
This work presents a new method for adaptive soft sensor development by further exploiting
just-in-time modeling framework. In the presented method, referred to as online local …
just-in-time modeling framework. In the presented method, referred to as online local …