Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework

Variational Bayesian probabilistic modeling framework for data-driven distributed process monitoring

(2021) Jiashi Jiang et al.   CONTROL ENGINEERING PRACTICE

Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference

(2021) Junyao Xie et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Conjugate exponential family graphical models in process monitoring: A tutorial review

(2020) Rahul Raveendran et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Convolutional Neural Networks and Transfer Learning for Quality Inspection of Different Sugarcane Varieties

(2020) Moises Alencastre-Miranda et al.   IEEE Transactions on Industrial Informatics

Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events

(2019) Mengqi Fang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

(2019) Zhuyun Chen et al.   IEEE Transactions on Industrial Informatics

Process monitoring using a generalized probabilistic linear latent variable model

(2018) Rahul Raveendran et al.   AUTOMATICA

Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning

(2018) Siyu Shao et al.   IEEE Transactions on Industrial Informatics

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Advances in Variational Inference

(2018) Cheng Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Variational Inference: A Review for Statisticians

(2017) David M. Blei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

(2016) Qingchao Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Probabilistic latent variable regression model for process-quality monitoring

(2014) Le Zhou et al.   CHEMICAL ENGINEERING SCIENCE

Mixture Bayesian regularization method of PPCA for multimode process monitoring

(2010) Zhiqiang Ge et al.   AICHE JOURNAL

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING