Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method

Online process monitoring using a new PCMD index

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

Dimensionality reduction of RKHS model parameters

(2015) Okba Taouali et al.   ISA TRANSACTIONS

Hybrid kernel identification method based on support vector regression and regularisation network algorithms

(2014) Okba Taouali et al.   IET Signal Processing

A new online fault detection method based on PCA technique

(2013) I. Jaffel et al.   IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION

Process monitoring based on improved recursive PCA methods by adaptive extracting principal components

(2013) Lirong Xia et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Online prediction model based on the SVD–KPCA method

(2012) Ilyes Elaissi et al.   ISA TRANSACTIONS

Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process

(2010) Gang Li et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Reconstruction-Based Contribution for Process Monitoring with Kernel Principal Component Analysis

(2010) Carlos F. Alcala et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Online identification of nonlinear system using reduced kernel principal component analysis

(2010) Okba Taouali et al.   NEURAL COMPUTING & APPLICATIONS