1988
DOI: 10.13182/fst88-a25261
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The Data Collection System for Failure/Maintenance at the Tritium Systems Test Assembly

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Cited by 7 publications
(3 citation statements)
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“…• Using the information available of failure in existing tritium systems such as TSTA, JET, TPL and TLK, as it appears in the compilations by Cadwallader [13] and Casey et al [27]. However, the size of training sets in machine learning and pattern recognition is important, especially for complex and non-linear systems [28].…”
Section: The Training Of Data-driven Approachesmentioning
confidence: 99%
“…• Using the information available of failure in existing tritium systems such as TSTA, JET, TPL and TLK, as it appears in the compilations by Cadwallader [13] and Casey et al [27]. However, the size of training sets in machine learning and pattern recognition is important, especially for complex and non-linear systems [28].…”
Section: The Training Of Data-driven Approachesmentioning
confidence: 99%
“…Detailed examination of the transmitted data revealed that these electronic records were from the database inception in 1983 to the time that the KnowledgeMan database manager program originally used to store and sort the failure report data 11,12 was converted to the R-base program for data storage. The conversion occurred in early 1990.…”
Section: Data Valuesmentioning
confidence: 99%
“…It applies a precious metal catalyst to catalyze the oxidation of tritium gas, which is absorbed by a molecular sieve [4] . The tritium purification device TSTA of Los Alamos Laboratory in the United States may remove the tritium released into the room of the emergency air purification system [5]~ [6] , as well as tritium-containing waste gas treatment system TWT [7]~ [8] .…”
Section: Introductionmentioning
confidence: 99%