Version 1.0.0

Fault detection:

Simulation datasets:

• Generated a normal_training.csv dataset
• Generated a normal_testing.csv dataset
• Generated a faults_training.csv dataset

PCA:

• Performed PCA on the normal_training.csv dataset
• Created a scree plot for the normal_training.csv dataset
• Reduced the order of the normal_training.csv dataset

Fault detection training:

• Determined the Hotelling's T² statistic of the normal_training.csv dataset
• Determined the Q statistic of the normal_training.csv dataset
• Constructed the Hotelling's T² statistic and Q statistic control charts for the normal_training.csv dataset
• Set the Hotelling's T²_α and Q_α upper control limits for the normal_training.csv dataset

Fault detection:

• Used the training PCA loadings from the normal_training.csv dataset to reduce the faults_training.csv dataset
• Determined the Hotelling's T² statistic of the faults_training.csv dataset
• Determined the Q statistic of the faults_training.csv dataset
• Constructed the Hotelling's T² statistic and Q statistic control charts for the faults_training.csv dataset
• Detected the process faults in the faults_training.csv dataset
• Calculated the ROC curve parameters for the Hotelling's T² statistic and Q statistic

ROC curves:

• Generated a Hotelling's T² ROC curve for the faults_training.csv dataset
• Generated a Q statistic ROC curve for the faults_training.csv dataset

Version 0.5.0

Valve Fault Simulation:

External Variables:

• Generated Gaussian external variables to use for the process model

Process States:

• Added process states

Valve Faults:

• Added control valve models
• Added control valve states
• Added Stateflow charts
• Modeled the control valves getting stuck
• Modeled the control valves experiencing stiction
• Added Butterworth lowpass filters to use for the valve stiction models
• Added variant subsystems for the control valves' states
• Exported the control valves' states

Version 0.4.0

Process Control:

Control strategy:

• Updated Simulink layout
• Developed control strategy
• Implemented sensor model
• Implemented control valve model

Feedback control:

• Fitted feedback ARX models
• Tuned feedback controllers
• Implemented feedback controllers

Feedforward control:

• Fitted feedforward ARX models
• Tuned feedforward controllers
• Implemented feedforward controllers

Version 0.3.0

Open-loop model:

• Developed process model
• Mass balances
• Dynamic equilibrium
• Model parameters
• Steady-state initialization