Deep Learning of Latent Variable Models for Industrial Process Monitoring

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

(2021) Adam Glowacz   SENSORS

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

(2021) Adam Glowacz et al.   APPLIED ACOUSTICS

A Survey on Deep Learning for Data-Driven Soft Sensors

(2021) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

(2021) Donglei Zheng et al.   IEEE-CAA Journal of Automatica Sinica

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis

(2021) Jiaxin Yu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Soft sensor model for dynamic processes based on multichannel convolutional neural network

(2020) Xiaofeng Yuan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Monitoring and prediction of big process data with deep latent variable models and parallel computing

(2020) Zeyu Yang et al.   JOURNAL OF PROCESS CONTROL

Locally linear back-propagation based contribution for nonlinear process fault diagnosis

(2020) Jinchuan Qian et al.   IEEE-CAA Journal of Automatica Sinica

Fault diagnosis of electric impact drills using thermal imaging

(2020) Adam Glowacz   MEASUREMENT

Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes

(2020) Le Yao et al.   IEEE Transactions on Industrial Informatics

A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring

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

Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network

(2019) Jianbo Yu et al.   IEEE Transactions on Cybernetics

Process monitoring using a generalized probabilistic linear latent variable model

(2018) Rahul Raveendran et al.   AUTOMATICA

A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring

(2018) Yuan Xu et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Data-Driven Design of Fog Computing aided Process Monitoring System for Large-Scale Industrial Processes

(2018) Hao Luo et al.   IEEE Transactions on Industrial Informatics

Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains

(2018) Hongtian Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring

(2018) Xiaogang Deng et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis

(2015) Jian Huang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

(2013) Xuewu Dai et al.   IEEE Transactions on Industrial Informatics

Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares

(2009) Yingwei Zhang et al.   IEEE Transactions on Industrial Informatics

Multimode process monitoring based on Bayesian method

(2009) Zhiqiang Ge et al.   JOURNAL OF CHEMOMETRICS