Analysis assessment expert system for gas chromatography
Conference
·
OSTI ID:126590
- Los Alamos National Lab., NM (United States); and others
An artificial intelligence based analysis assessment system is presented to automate gas chromatography instrument troubleshooting. This system is capable of recognizing symptoms of common problems with GC analysis, reasoning with the symptoms to make a problem diagnosis, and suggest appropriate solutions. In this system, signal processing techniques are used to search for symptoms of problems in the time-series data. For example, peak shapes are analyzed for fronting and tailing and the baseline is analyzed for drift and the presence of electronic spikes. A measurement of the severity of each symptom is then used by the expert system to diagnose potential problems with the analysis. This system will be integrated with the instrument control and laboratory automation that is necessary to effect the recommended solutions when possible. The result will be a more robust instrument capable of recognizing failures and error modes from the sample data and capable of correcting many of the common failures.
- OSTI ID:
- 126590
- Report Number(s):
- CONF-950402--
- Country of Publication:
- United States
- Language:
- English
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