Pages that link to "Item:Q903581"

The following pages link to Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis (Q903581):

Displaying 23 items.

• A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process (Q509342) (← links)
• Nonlinear statistical process monitoring based on control charts with memory effect and kernel independent component analysis (Q954510) (← links)
• A note on nonparametric kernel smoothing for model-free fault symptom generation (Q1301477) (← links)
• Robust fault detection for a class of uncertain nonlinear systems based on multiobjective optimization (Q1666389) (← links)
• Nonlinear fault separation for redundancy process variables based on FNN in MKFDA subspace (Q1714729) (← links)
• Fault diagnosis of non-Gaussian process based on FKICA (Q1796634) (← links)
• A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network (Q1797198) (← links)
• Evaluation of nonlinear scaling and transformation for nonlinear process fault detection (Q1933021) (← links)
• A combined Markov chain model and generalized projection nonnegative matrix factorization approach for fault diagnosis (Q1993069) (← links)
• A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes (Q2042977) (← links)
• A novel multivariate statistical process monitoring algorithm: orthonormal subspace analysis (Q2123220) (← links)
• Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression (Q2148466) (← links)
• Corrigendum to ``Fault diagnosis of non-Gaussian process based on FKICA'' (Q2181356) (← links)
• Canonical correlation analysis-based explicit relation discovery for statistical process monitoring (Q2181391) (← links)
• Simultaneous fault diagnosis for robot manipulators with actuator and sensor faults (Q2282881) (← links)
• Sparse subspace clustering for data with missing entries and high-rank matrix completion (Q2292193) (← links)
• Recursive transformed component statistical analysis for incipient fault detection (Q2407206) (← links)
• Improved key performance indicator-partial least squares method for nonlinear process fault detection based on just-in-time learning (Q2680244) (← links)
• A modified independent component analysis-based fault detection method in plant-wide systems (Q2791930) (← links)
• Fault diagnosis of nonlinear and large-scale processes using novel modified kernel Fisher discriminant analysis approach (Q2798434) (← links)
• (Q2994116) (← links)
• Kernelized relative entropy for direct fault detection in industrial rotary kilns (Q4614944) (← links)
• Unsupervised anomaly detection using inverse generative adversarial networks (Q6658957) (← links)