Automated Quality Assurance of Online NIR Analysers
2005
Automated Quality Assurance of Online NIR Analysers
publication
Evidence: moderate
Author Information
Author(s): Kari Aaljoki
Primary Institution: Neste Jacobs Oy
Hypothesis
Can an automated quality assurance system improve the performance and reliability of online NIR analysers?
Conclusion
The automated QA system helps maintenance personnel act before predictions fail, resulting in increased analyser uptime.
Supporting Evidence
- The system automates the collection of reference data to minimize extra work.
- It continuously monitors product changes and validates models in variable prediction space.
- Automated alarms and reports help maintenance personnel respond quickly to issues.
- The system has resulted in shorter response times and increased analyser uptime.
Takeaway
This study shows that a computer program can help keep machines that analyze materials working well by checking their performance automatically.
Methodology
The system collects and organizes spectral data from various instruments and validates predictions against laboratory results.
Limitations
The system may not cover all potential issues in sample handling and analyser performance.
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