Pages that link to "Item:Q3366475"
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The following pages link to Fault detection in continuous processes using multivariate statistical methods (Q3366475):
Displaying 12 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)
- A combined Markov chain model and generalized projection nonnegative matrix factorization approach for fault diagnosis (Q1993069) (← links)
- Fault detection strategy combining NARMAX model and Bhattacharyya distance for process monitoring (Q1996655) (← links)
- Hybrid artificial neural networks modeling for faults identification of a stochastic multivariate process (Q2015441) (← links)
- Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test (Q2214968) (← links)
- (Q3143781) (← links)
- A hierarchical process monitoring strategy for a serial multi-stage manufacturing system (Q3163357) (← links)
- Process performance monitoring using multivariate statistical process control (Q4331595) (← links)
- Fault Detection in Multivariate Signals With Applications to Gas Turbines (Q4571575) (← links)
- Diagnosis of fuel pump measurement bias in gas turbine engines (Q5309017) (← links)
- A Comparative Study of Different Methodologies for Fault Diagnosis in Multivariate Quality Control (Q5415898) (← links)
