| 摘要 |
The invention validates propulsion data used in engine performance diagnostics based on heuristic knowledge of the physical relationships between engine parameters. The method identifies data anomalies, reduces overall scatter, and allows for the detection of true engine fault events. The method uses persistency to aid in differentiating between anomalous and fault event data, and it replaces anomalous data with the best-known level for that parameter, thereby preserving the overall mean signal level.
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