Pages that link to "Item:Q1993069"

The following pages link to A combined Markov chain model and generalized projection nonnegative matrix factorization approach for fault diagnosis (Q1993069):

Displaying 8 items.

• Fault identification in industrial processes using an integrated approach of neural network and analysis of variance (Q460038) (← links)
• A model for real-time failure prognosis based on hidden Markov model and belief rule base (Q992604) (← links)
• Semiadaptive fault diagnosis via variational Bayesian mixture factor analysis with application to wastewater treatment (Q1788515) (← links)
• Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques (Q1796632) (← links)
• Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes (Q2170729) (← links)
• Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test (Q2214968) (← links)
• Early malfunction diagnosis of industrial process units utilizing online linear trend profiles and real‐time classification (Q4562525) (← links)
• Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders (Q6168965) (← links)