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TRAINED PATTERN ANALYZER FOR ROLL OUT DECISIONS
TRAINED PATTERN ANALYZER FOR ROLL OUT DECISIONS
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机译:经过培训的模式分析器,用于滚动决策
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摘要
A historical task database relating vehicle rollout decisions, vehicle maintenance states and subsequent deteriorations is created. A pattern analyzer may use an item-set mining algorithm on the task database to recommend whether a vehicle with its current maintenance state should be deployed. A supervisor uses this recommendation to make a rollout decision. These decisions are added to the database. Heuristic rules are defined to determine if the rollout decision was correct. The system to learns when a supervisor continues to make costly rollout errors. The system also discovers combinations of defects that lead to a rapid deterioration and makes recommendations that the vehicle be sent for maintenance rather than being rolled out.
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