Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables

Dynamic neural orthogonal mapping for fault detection

(2021) Zhengwei Hu et al.   International Journal of Machine Learning and Cybernetics

Feature Selection for Classification using Principal Component Analysis and Information Gain

(2021) Erick Odhiambo Omuya et al.   EXPERT SYSTEMS WITH APPLICATIONS

A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network

(2021) Arthur Henrique de Andrade Melani et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Time-varying general dynamic factor models and the measurement of financial connectedness

(2020) Matteo Barigozzi et al.   JOURNAL OF ECONOMETRICS

Predictive maintenance in the Industry 4.0: A systematic literature review

(2020) Tiago Zonta et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Principal component analysis based construction and evaluation of cryptocurrency index

(2020) Agam Shah et al.   EXPERT SYSTEMS WITH APPLICATIONS

Taking climate change into account: Non‐stationarity in climate drivers of ecological response

(2020) Clifton P. Bueno de Mesquita et al.   JOURNAL OF ECOLOGY

Improving DTR assessment by means of PCA applied to wind data

(2019) Alessandro Bosisio et al.   ELECTRIC POWER SYSTEMS RESEARCH

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

Disease spreading in complex networks: A numerical study with Principal Component Analysis

(2018) P.H.T. Schimit et al.   EXPERT SYSTEMS WITH APPLICATIONS

A bibliometric review and analysis of data-driven fault detection and diagnosis methods for process systems

(2018) Md Alauddin et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Application of Robust PCA with a structured outlier matrix to topology estimation in power grids

(2018) Stéphane Chrétien et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Parallel PCA–KPCA for nonlinear process monitoring

(2018) Qingchao Jiang et al.   CONTROL ENGINEERING PRACTICE

Fault detection in a grid-connected photovoltaic system using adaptive thresholding method

(2018) Mustapha Ammiche et al.   SOLAR ENERGY

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

(2016) Tiago Rato et al.   AICHE JOURNAL

Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

(2016) Khaoula Tidriri et al.   ANNUAL REVIEWS IN CONTROL

Comparison and clustering analysis of the daily electrical load in eight European countries

(2016) Pietro Ferraro et al.   ELECTRIC POWER SYSTEMS RESEARCH

A PCA-based approach for substation clustering for voltage sag studies in the Brazilian new energy context

(2016) Jacques Miranda Filho et al.   ELECTRIC POWER SYSTEMS RESEARCH

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

Matrix compression using the Nyström method

(2016) Arik Nemtsov et al.   Intelligent Data Analysis

Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring

(2016) Ines Jaffel et al.   ISA TRANSACTIONS

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches

(2015) Kai Zhang et al.   JOURNAL OF PROCESS CONTROL

Monitoring of Nonlinear Time-Delay Processes Based on Adaptive Method and Moving Window

(2014) Yunpeng Fan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM

(2014) Shaojiang Dong et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Weighted Modular Image Principal Component Analysis for face recognition

(2013) George D.C. Cavalcanti et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data driven approach for fault detection and diagnosis of turbine in thermal power plant using Independent Component Analysis (ICA)

(2012) Ali Ajami et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

Moving Window Principal Component Analysis for Detecting Positional Fluctuation of Spectral Changes

(2011) Soo-Ryeon Ryu et al.   BULLETIN OF THE KOREAN CHEMICAL SOCIETY

Detection and Identification of Faults in NPP Instruments Using Kernel Principal Component Analysis

(2011) Jianping Ma et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Q-statistic and T2-statistic PCA-based measures for damage assessment in structures

(2010) LE Mujica et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL