Soft sensor based on DBN-IPSO-SVR approach for rotor thermal deformation prediction of rotary air-preheater

Rebooting data-driven soft-sensors in process industries: A review of kernel methods

(2020) Yiqi Liu et al.   JOURNAL OF PROCESS CONTROL

Data supplement for a soft sensor using a new generative model based on a variational autoencoder and Wasserstein GAN

(2019) Xiao Wang et al.   JOURNAL OF PROCESS CONTROL

Soft sensors design in a petrochemical process using an Evolutionary Algorithm

(2019) Gustavo A.P. de Morais et al.   MEASUREMENT

Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing

(2019) Weiming Shao et al.   IEEE Transactions on Industrial Informatics

Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction

(2018) Xiao Wang et al.   ADVANCED ENGINEERING INFORMATICS

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

Integrated soft sensor with wavelet neural network and adaptive weighted fusion for water quality estimation in wastewater treatment process

(2018) Qiumei Cong et al.   MEASUREMENT

Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN

(2017) Yi Liu et al.   ENERGY & FUELS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Thermal deformation prediction based on the temperature distribution of the rotor in rotary air-preheater

(2015) Limin Wang et al.   APPLIED THERMAL ENGINEERING

Online soft sensor design using local partial least squares models with adaptive process state partition

(2015) Weiming Shao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Two-layer contractive encodings for learning stable nonlinear features

(2015) Hannes Schulz et al.   NEURAL NETWORKS

Multivariate Statistical Process Control Method Including Soft Sensors for Both Early and Accurate Fault Detection

(2014) Yasuyuki Masuda et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Data-driven soft sensor development based on deep learning technique

(2014) Chao Shang et al.   JOURNAL OF PROCESS CONTROL

Development of an optimal operation strategy in a sequential batch reactor (SBR) through mixed-integer particle swarm dynamic optimization (PSO)

(2010) A. Ferrari et al.   COMPUTERS & CHEMICAL ENGINEERING

Data-driven Soft Sensors in the process industry

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

A study on thermal stress deformation using analytical methods based on the temperature distribution of storage material in a rotary air-preheater

(2008) H.Y. Wang et al.   APPLIED THERMAL ENGINEERING