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A MEASUREMENT VALIDATION ALGORITHM USED IN TEST CELL

机译：在测试细胞中使用的测量验证算法

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摘要

Aircraft engines are systematically tested throughout development phases to evaluate their performance. During a test, several measurements on engine and on the bench itself are acquired and then stored in a dedicated database during the test. Many factors can cause an abnormal measure is not detected on time; rerun a test can be very expensive. Prevent measurement errors is thus the priority during an engine test. In the following article, we present a measurement validation algorithm used in batch mode, during the test with a short delay or at the end of each test. The algorithm consists in modeling the measurement by building a mathematical model. An anomaly Z-score is then computed with model's residues and compared to an abnormality threshold learned on real data. The user will be alerted about the measurement value if the Z-score exceeds this abnormality threshold. Through this monitoring system, if a measurement problem occurs, the engine test owner can then be reactive and rerun the acquisition or change the sensor if faulty.
机译：飞机发动机在整个开发阶段均经过系统测试，以评估其性能。在测试期间，将获取发动机和工作台本身的一些测量值，然后在测试期间将其存储在专用数据库中。许多因素可能导致无法及时检测到异常措施；重新运行测试可能会非常昂贵。因此，防止测量错误是发动机测试期间的优先事项。在下面的文章中，我们将介绍一种在批处理模式下，短暂的测试过程中或每次测试结束时使用的测量验证算法。该算法包括通过建立数学模型对测量建模。然后，使用模型的残差计算异常Z得分，并将其与在实际数据上学习到的异常阈值进行比较。如果Z分数超过此异常阈值，则会向用户发出有关测量值的警报。通过此监视系统，如果出现测量问题，则发动机测试拥有者可以做出反应并重新运行采集，或者在出现故障时更换传感器。

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