Sensitivity of principal components to system changes in the presence of non-stationarity

Nonstationarity in correlation matrices for wind turbine SCADA‐data

(2023) Henrik M. Bette et al.   WIND ENERGY

Fault detection for chemical processes based on non-stationarity sensitive cointegration analysis

(2022) Jian Huang et al.   ISA TRANSACTIONS

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

(2022) Miguel Angelo de Carvalho Michalski et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of brain lesion location in MRI images using convolutional neural network and robust PCA

(2021) Mohsen Ahmadi et al.   INTERNATIONAL JOURNAL OF NEUROSCIENCE

Kernel Principal Component Analysis for Structural Health Monitoring and Damage Detection of an Engineering Structure Under Operational Loading Variations

(2021) Sharafiz Abdul Rahim et al.   Journal of Failure Analysis and Prevention

Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

(2020) Hannah R. Kerner et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Fault detection and diagnosis in water resource recovery facilities using incremental PCA

(2020) Pezhman Kazemi et al.   WATER SCIENCE AND TECHNOLOGY

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework

(2020) Muhammad Nawaz et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Uncovering the dynamics of correlation structures relative to the collective market motion

(2020) Anton J Heckens et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA

(2020) Wahiba Bounoua et al.   CHEMICAL ENGINEERING SCIENCE

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

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

Data-driven performance analyses of wastewater treatment plants: A review

(2019) Kathryn B. Newhart et al.   WATER RESEARCH

An integrated framework for statistical change detection in running status of industrial machinery under transient conditions

(2019) Guangyuan Chen et al.   ISA TRANSACTIONS

Sensor fault detection and diagnosis for a water source heat pump air-conditioning system based on PCA and preprocessed by combined clustering

(2019) Hongtao Zhang et al.   APPLIED THERMAL ENGINEERING

Statistical sensorless short-circuit fault detection algorithm for photovoltaic arrays

(2019) Amir Maleki et al.   Journal of Renewable and Sustainable Energy

Fault Data Detection of Traffic Detector Based on Wavelet Packet in the Residual Subspace Associated with PCA

(2019) Xiaolu Li et al.   Applied Sciences-Basel

Wind Turbine Condition Monitoring Strategy through Multiway PCA and Multivariate Inference

(2018) Francesc Pozo et al.   Energies

Fault detection based on time series modeling and multivariate statistical process control

(2018) A. Sánchez-Fernández et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fault diagnosis of time-varying processes using modified reconstruction-based contributions

(2018) Lamiaa M. Elshenawy et al.   JOURNAL OF PROCESS CONTROL

Static and Dynamic Robust PCA and Matrix Completion: A Review

(2018) Namrata Vaswani et al.   PROCEEDINGS OF THE IEEE

Wind Turbine Multi-Fault Detection and Classification Based on SCADA Data

(2018) Yolanda Vidal et al.   Energies

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

(2016) Tiago Rato et al.   AICHE JOURNAL

Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant

(2016) Henri Haimi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Improved principal component analysis for anomaly detection: Application to an emergency department

(2015) Fouzi Harrou et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Stable recursive canonical variate state space modeling for time-varying processes

(2015) Liangliang Shang et al.   CONTROL ENGINEERING PRACTICE

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

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

Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?

(2014) Fionn Murtagh et al.   JOURNAL OF CLASSIFICATION

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Diagnostics of bearings in presence of strong operating conditions non-stationarity—A procedure of load-dependent features processing with application to wind turbine bearings

(2013) Radoslaw Zimroz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data

(2013) Ludmila I. Kuncheva et al.   IEEE Transactions on Neural Networks and Learning Systems

Identifying States of a Financial Market

(2012) Michael C. Münnix et al.   Scientific Reports