Pages that link to "Item:Q1954609"
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The following pages link to A hybrid ICA-SVM approach for determining the quality variables at fault in a multivariate process (Q1954609):
Displaying 5 items.
- Fault identification in industrial processes using an integrated approach of neural network and analysis of variance (Q460038) (← links)
- Assessment of \(T^2\)- and \(Q\)-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring (Q509339) (← links)
- Hybrid artificial neural networks modeling for faults identification of a stochastic multivariate process (Q2015441) (← links)
- Hybrid variable monitoring: an unsupervised process monitoring framework with binary and continuous variables (Q2103637) (← links)
- Variance Shifts Identification Model of Bivariate Process Based on LS-SVM Pattern Recognizer (Q3085313) (← links)