基于飞行参数的舰载直升机多级退化阈值构建方法

C. Liu
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引用次数: 0

摘要

安全性是衡量舰载直升机性能的重要指标,舰载直升机状态监测是保证舰载直升机安全运行的主要途径。随着舰载直升机飞行时间的增加,许多部件会逐渐退化,需要设置相应的阈值以保证舰载直升机的正常运行。常用的固定阈值方法会因飞行状态不同而产生虚警,因此需要动态构建不同飞行状态下的状态阈值。首先利用经验模态分解对信号进行去噪,然后根据舰载直升机在多个飞行状态下的稳定性对提取的监测特征进行分类。对于稳定的特征,通过统计特征设置一个固定的阈值。动态特征选取与特征变化高度相关的飞行参数作为指标,利用主成分分析将其融合,构建动态阈值指标。通过实际飞行数据对所提方法进行了验证,结果表明动态阈值指标能有效降低虚警率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction method of multi-stage degradation threshold for shipborne helicopter based on flight parameters
Safety is an important indicator to measure the performance of ship-borne helicopters, and the state monitoring of shipborne helicopters is the main way to ensure the safety of shipborne helicopters. As the flight time of the shipborne helicopter increases, many components will gradually degrade, and corresponding threshold need to be set to ensure the normal operation the shipborne helicopter. The commonly used fixed threshold method will cause false alarms due to different flight states, so it is necessary to dynamically construct the state thresholds under different flight states. Firstly, the empirical mode decomposition is used to denoise the signal, and then the extracted monitoring features of the shipborne helicopter are classified according to the stability in multiple flight states. A fixed threshold is setted by statistical characteristics for stable features. The dynamic feature selects flight parameters that are highly correlated with feature changes as indicators, and uses principal component analysis to fuse them to construct a dynamic threshold index.The proposed method is verified by actual flight data, and the result shows that the dynamic threshold index can effectively reduce the false alarm rate.
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