An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability

False alarm reducing in PCA method for sensor fault detection in a nuclear power plant

(2018) Wei Li et al.   ANNALS OF NUCLEAR ENERGY

A Modified Moving Window dynamic PCA with Fuzzy Logic Filter and application to fault detection

(2018) Mustapha Ammiche et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration

(2018) Ivan S. Klyuzhin et al.   PLoS One

Some Current Directions in the Theory and Application of Statistical Process Monitoring

(2017) William H. Woodall et al.   JOURNAL OF QUALITY TECHNOLOGY

A systematic comparison of PCA-based Statistical Process Monitoring methods for high-dimensional, time-dependent Processes

(2016) Tiago Rato et al.   AICHE JOURNAL

Fault detection in time-varying chemical process through incremental principal component analysis

(2016) Yong Gao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring

(2016) Ines Jaffel et al.   ISA TRANSACTIONS

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Statistical process monitoring of time-dependent data

(2016) Bart De Ketelaere et al.   Quality Engineering

Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference

(2015) Jian Huang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Online process monitoring using a new PCMD index

(2015) Ines Jaffel et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data

(2015) Bart De Ketelaere et al.   JOURNAL OF QUALITY TECHNOLOGY

Comparing a knowledge-based and a data-driven method in querying data streams for system fault detection: A hydraulic drive system application

(2014) Ahmad Alzghoul et al.   COMPUTERS IN INDUSTRY

Defining the structure of DPCA models and its impact on process monitoring and prediction activities

(2013) Tiago J. Rato et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Adaptive process monitoring using efficient recursive PCA and moving window PCA algorithms

(2010) Jyh-Cheng Jeng   Journal of the Taiwan Institute of Chemical Engineers

Bibliographical review on reconfigurable fault-tolerant control systems

(2008) Youmin Zhang et al.   ANNUAL REVIEWS IN CONTROL

Variable MWPCA for Adaptive Process Monitoring

(2007) Xiao Bin He et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH