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High frequency sensor data analysis and integration with low frequency sensor data used for parametric data modeling for model based reasoners
High frequency sensor data analysis and integration with low frequency sensor data used for parametric data modeling for model based reasoners
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机译:高频传感器数据分析以及与低频传感器数据的集成,用于基于模型的推理机的参数数据建模
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摘要
A method implemented by a computing system identifies anomalies that represents potential off-normal behavior of components on an aircraft based on data from sensors during various modes of operations including in-flight operation of the aircraft. High-frequency sensor outputs monitor performance parameters of respective components. Anomaly criteria is dynamically selected and the high-frequency sensor outputs are compared with the anomaly criteria where the comparison results determine whether potentially off-normal behavior exists. A conditional anomaly tag is inserted in the digitized representations of first high-frequency sensor outputs where the corresponding comparison results indicate potentially off-normal behavior. At least the digitized representations of the first high-frequency sensor outputs containing the conditional anomaly tag are sent to a computer-based diagnostic system for a final determination of whether the conditional anomaly tag associated with the respective components represents off-normal behavior for the respective components.
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