DIII-D RESEARCH OPPORTUNITIES FORUM FOR THE 2008 EXPERIMENTAL CAMPAIGN
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| Title | 27: Disruption Statistics and Prediction | ||
| Name: | John C. Wesley ( |
Affiliation: | General Atomics |
| Research Area: | Disruptions | Presentation time: | Requested | Co-Author(s): | Al Hyatt, Pete Taylor and Sean Flanagan |
| Description: | Effect automated search and analysis of disruption-related plasma and tokamak data. Compile 'statistics' re disruption causes, correlation of disruptivity with operation mode, proximity to operation limits, nature of experimental activity. Identify disruption pending indicators. | ||
| Experimental Approach/Plan: | Background data analysis methods development and validation on past and daily tokamak and plasma operations data. Intent is to minimize eventual staff monitoring and assessment of data. May eventually result in coupling to disruption avoidance methods and test of benefits in reducing disruptivity. | ||
| Background: | -- | ||
| Resource Requirements: | Staff time and participation for method development, daily review and refinement. Interaction with scenario development and exploration campaigns; perhaps eventually runtime to test avoidance strategies and results. | ||
| Diagnostic Requirements: | May require specific setting, gains, time base, etc. to detect and record data on precursor sihgnals, plasma and machine fault logic. | ||
| Analysis Requirements: | Automated methods development and reporting. | ||
| Other Requirements: | -- | ||
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