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The Best Regime Recognition Algorithm for HUMS

机译:嗡嗡声的最佳政权识别算法

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摘要

Usage monitoring for Health and Usage Monitoring Systems (HUMS) equipped aircraft entails determining the actual usage of a component over time. This allows the actually usage/damage from a flight to be assigning to that component instead of the more conservative, worst case usage. By measuring the actually usage on the aircraft, the life of components can be extended, resulting in reduced maintenance cost. Alternatively, for aggressively flown aircraft, safety is maintained in that a component usage may be "consumed" to a greater extent than expected by the original flight spectrum data. Usage Monitoring requires an accurate representation of regime (e.g. Regime Recognition (RR)), where regime is the flight profile of the aircraft at each instant of flight time. For each regime, there is a usage assigned for each component that is life limited (e.g. accumulated damage over time). For example, the damage accumulated for a component would be higher if the aircraft is undergoing a high G maneuver vs. straight and level flight.
机译:用于健康和使用监控系统(HUMS)的使用监控的飞机需要确定随着时间的推移确定组件的实际使用情况。这允许从飞行中实际使用/损坏来分配给该组件而不是更保守的最坏情况。通过测量飞机上的实际使用情况,可以延长组件的寿命,导致维护成本降低。或者,对于积极的飞行飞行器,保持安全性,因为可以在更大程度上“消耗”组件使用比原始飞行谱数据更大程度。使用监控需要准确的政权表示(例如,政权认可(RR)),该制度是飞行时间的每秒飞机的飞行曲线。对于每个方案,为寿命有限的每个组件分配了一种用法(例如,随着时间的推移累积损坏)。例如,如果飞机正在进行高G动作与直线和水平飞行,则对组件累积的损坏将更高。

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