Improved manifold sparse slow feature analysis for process monitoring

New Dynamic Predictive Monitoring Schemes Based on Dynamic Latent Variable Models

(2020) Yining Dong et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Slow feature analysis based batch process monitoring with comprehensive interpretation of operation condition deviation and dynamic anomaly

(2018) Shumei Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Real-time fault detection and diagnosis using sparse principal component analysis

(2018) Shriram Gajjar et al.   JOURNAL OF PROCESS CONTROL

Cholesky QR-based retraction on the generalized Stiefel manifold

(2018) Hiroyuki Sato et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

(2015) Chao Shang et al.   AICHE JOURNAL

Statistical process monitoring of a multiphase flow facility

(2015) C. Ruiz-Cárcel et al.   CONTROL ENGINEERING PRACTICE

Industry 4.0

(2014) Heiner Lasi et al.   Business & Information Systems Engineering

Sparse Canonical Correlation Analysis: New Formulation and Algorithm

(2013) Delin Chu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Analysis and generalization of fault diagnosis methods for process monitoring

(2011) Carlos F. Alcala et al.   JOURNAL OF PROCESS CONTROL

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

(2010) Hyonho Chun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A novel process monitoring approach with dynamic independent component analysis

(2009) Chun-Chin Hsu et al.   CONTROL ENGINEERING PRACTICE

Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations

(2009) P.-E.P. Odiowei et al.   IEEE Transactions on Industrial Informatics

Nonlinear Batch Process Monitoring Using Phase-Based Kernel-Independent Component Analysis−Principal Component Analysis (KICA−PCA)

(2009) Chunhui Zhao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring

(2009) Lamiaa M. Elshenawy et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Sparse Canonical Correlation Analysis with Application to Genomic Data Integration

(2009) Elena Parkhomenko et al.   Statistical Applications in Genetics and Molecular Biology

A Sparse PLS for Variable Selection when Integrating Omics Data

(2008) Kim-Anh Lê Cao et al.   Statistical Applications in Genetics and Molecular Biology