Multiple simulation datasets across various operating modes and fault categories within the Tennessee Eastman Process (TEP). The data supports the validation and comparison of diagnostic algorithms in multi-state industrial settings.
Use Cases
- Compare the accuracy of diagnostic models using the multi-mode state transitions
- Validate fault detection algorithms against the specific fault types included in the TE process simulation
- Develop classification systems that utilize the multi-mode operational data to reduce false alarms during state changes
Strengths
- Utilizes the Tennessee Eastman Process (TEP) simulation framework
- Includes multi-mode operational data representing different process states
- Contains labeled fault scenarios for diagnostic algorithm comparison