Dynamic process fault monitoring based on neural network and PCA

This publication has 29 references indexed in Scilit:

• Principle Component Analysis Based Control Charts with Memory Effect for Process Monitoring
  Industrial & Engineering Chemistry Research, 2001
• Improved PCA methods for process disturbance and failure identification
  AIChE Journal, 1999
• SYSTEMATIC DERIVATIONS OF MODEL PREDICTIVE CONTROL BASED ON ARTIFICIAL NEURAL NETWORK
  Chemical Engineering Communications, 1998
• Fuzzy systems design based on a hybrid neural structure and application to the fault diagnosis of technical processes
  Control Engineering Practice, 1996
• Keynote paper: Fault diagnosis and neural networks: A power plant application
  Control Engineering Practice, 1995
• Statistical process control of multivariate processes
  Control Engineering Practice, 1995
• Comparison of four neural net learning methods for dynamic system identification
  IEEE Transactions on Neural Networks, 1992
• Neural networks in process fault diagnosis
  IEEE Transactions on Systems, Man, and Cybernetics, 1991
• Multivariate Generalizations of Cumulative Sum Quality-Control Schemes
  Technometrics, 1988
• Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
  Technometrics, 1978