Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques

Keyphrases

• Online Monitoring 100%
• Mean Shift 100%
• Learning Techniques 100%
• Bivariate Process 100%
• Fault Identification 100%
• Decision Tree Learning 100%
• Out-of-control Signal 50%
• Manufacturing Process 25%
• Constant Variance 25%
• Learning Model 25%
• Decision Tree Classifier 25%
• Process Monitoring 25%
• Data Collection System 25%
• Variance-covariance Matrix 25%
• Correlated Processes 25%
• C5.0 Algorithm 25%
• MCUSUM Chart 25%
• Multivariate Control Chart 25%
• Process Mean Shifts 25%
• MEWMA Chart 25%

Computer Science

• Learning Technique 100%
• Decision Trees 100%
• mean shift 100%
• fault identification 100%
• Control Signal 50%
• Process Monitoring 50%
• Covariance Matrix 25%
• Collection System 25%
• Decision Tree Classifier 25%
• Process Variable 25%
• Constant Variance 25%

Mathematics

• Bivariate 100%
• Decision Tree 100%
• Mean Shift 100%
• Process Variable 33%
• Variance Covariance Matrix 33%
• Correlated Process 33%
• Constant Variance 33%