Self-Learning Sparse PCA for Multimode Process Monitoring

Monitoring multimode processes: A modified PCA algorithm with continual learning ability

(2021) Jingxin Zhang et al.   JOURNAL OF PROCESS CONTROL

Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process

(2020) Keke Huang et al.   IEEE Transactions on Automation Science and Engineering

A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis

(2020) Yi Liu et al.   IEEE Transactions on Industrial Informatics

Embracing Change: Continual Learning in Deep Neural Networks

(2020) Raia Hadsell et al.   TRENDS IN COGNITIVE SCIENCES

A Novel Multimanifold Joint Projections Model for Multimode Process Monitoring

(2020) Xue Xu et al.   IEEE Transactions on Industrial Informatics

Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis

(2019) Jun Shang et al.   JOURNAL OF PROCESS CONTROL

All-optical spiking neurosynaptic networks with self-learning capabilities

(2019) J. Feldmann et al.   NATURE

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Data-driven monitoring of multimode continuous processes: A review

(2019) Marcos Quiñones-Grueiro et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes

(2019) Bei Wang et al.   IEEE Transactions on Industrial Informatics

A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method with Application to the Finishing Mill Process

(2018) Kai Zhang et al.   IEEE Transactions on Industrial Informatics

The Proximal Augmented Lagrangian Method for Nonsmooth Composite Optimization

(2018) Neil K. Dhingra et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

(2018) Nicolas Y. Masse et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Recent Advances in Key-Performance-Indicator Oriented Prognosis and Diagnosis With a MATLAB Toolbox: DB-KIT

(2018) Yuchen Jiang et al.   IEEE Transactions on Industrial Informatics

Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method

(2017) Xin Peng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps

(2017) Xin Xu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Overcoming catastrophic forgetting in neural networks

(2017) James Kirkpatrick et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring

(2017) Jingxin Zhang et al.   IEEE Transactions on Cybernetics

Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis

(2017) Xiaogang Deng et al.   IEEE Access

Multimode process monitoring with PCA mixture model

(2014) Xianzhen Xu et al.   COMPUTERS & ELECTRICAL ENGINEERING

Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems

(2009) A. Beck et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING