Services

The Center for Industrial Process Analytics has the following areas of intervention:

  • Knowledge Extraction
    • Visualization of large industrial data
    • Process modeling
    • Structural analysis of sources of variation
    • Big data analytics
  • Process Stability
    • Advanced control and monitoring of large processes
    • Fault diagnosis and prognosis
    • Modeling and monitoring of degradation processes
    • Monitoring of control systems
  • Process Improvement
    • Continuous process improvement
    • Quality problem analysis and troubleshooting
    • Six Sigma and Lean Six Sigma Projects
    • Design of Experiments (DOE)
    • Process optimization
  • Quality Forecast
    • Soft sensors for industrial processes
    • Machine Learning predictive methods
    • Maintenance of predictive models
    • Transferring models between units
  • Measurement Systems
    • Process Analytical Technology (PAT)
    • Industrial imaging
    • Fusing data and information from different sources