A hybrid model combining mechanism with semi-supervised learning and its application for temperature prediction in roller hearth kiln

Gray-box Soft Sensors in Process Industry: Current Practice, and Future Prospects in Era of Big Data

(2020) Iftikhar Ahmad et al.   Processes

Beyond the energy balance: exergy analysis of an industrial roller kiln firing porcelain tiles

(2019) S. Ferrer et al.   APPLIED THERMAL ENGINEERING

A new soft-sensor algorithm with concurrent consideration of slowness and quality interpretation for dynamic chemical process

(2019) Yan Qin et al.   CHEMICAL ENGINEERING SCIENCE

A two‐layer ensemble learning framework for data‐driven soft sensor of the diesel attributes in an industrial hydrocracking process

(2019) Yalin Wang et al.   JOURNAL OF CHEMOMETRICS

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression

(2018) Ning Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Semisupervised learning for probabilistic partial least squares regression model and soft sensor application

(2018) Junhua Zheng et al.   JOURNAL OF PROCESS CONTROL

Intelligent Demand Forecasting of Smelting Process Using Data-Driven and Mechanism Model

(2018) Jie Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data

(2017) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR

(2017) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Probabilistic density-based regression model for soft sensing of nonlinear industrial processes

(2017) Xiaofeng Yuan et al.   JOURNAL OF PROCESS CONTROL

Probabilistic learning of partial least squares regression model: Theory and industrial applications

(2016) Junhua Zheng et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An integrated predictive model with an on-line updating strategy for iron precipitation in zinc hydrometallurgy

(2015) Yongfang Xie et al.   HYDROMETALLURGY

Effect of sintering temperature on cycling performance and rate performance of LiNi0.8Co0.1Mn0.1O2

(2015) Xiang-qun LI et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

A Quality-Relevant Sequential Phase Partition Approach for Regression Modeling and Quality Prediction Analysis in Manufacturing Processes

(2014) Chunhui Zhao   IEEE Transactions on Automation Science and Engineering

Gray-box modeling for prediction and control of molten steel temperature in tundish

(2014) Iftikhar Ahmad et al.   JOURNAL OF PROCESS CONTROL

An integrated prediction model of cobalt ion concentration based on oxidation–reduction potential

(2013) B. Sun et al.   HYDROMETALLURGY

A comparative study of just-in-time-learning based methods for online soft sensor modeling

(2010) Zhiqiang Ge et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Review of adaptation mechanisms for data-driven soft sensors

(2010) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING

Electric Load Forecasting Based on Locally Weighted Support Vector Regression

(2010) Ehab E Elattar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Development of Self-Validating Soft Sensors Using Fast Moving Window Partial Least Squares

(2010) Jialin Liu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Moving window kernel PCA for adaptive monitoring of nonlinear processes

(2009) Xueqin Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-driven Soft Sensors in the process industry

(2009) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING

Influence analysis of additive mixed-effects nonlinear regression models via EM algorithm

(2009) Feng-Chang Xie et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION