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A Tool-kit for Rotorcraft Regime Recognition Codes Validation

机译：旋翼机系统识别代码验证工具包

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According to published research maintenance costs for Navy's rotorcraft can be as high as 45% of the annual operating and support costs. Consequently, there is an ever increasing need for tools and technologies that can accurately predict the remaining useful life of parts and components, thereby 1) reducing waste arising from premature disposal of parts, and 2) identifying and replacing parts before they can jeopardize fleet-level readiness and safety. Rotorcraft Health and Usage Monitoring Systems (HUMS) and regime recognition (RR) codes play a critical role in aircraft maintenance, with RR codes helping technicians identify the usage of different components. However, RR codes are third-party software that require extensive validation via expensive and time-consuming flight tests before they can be successfully integrated into the overall condition-based maintenance (CBM) programs. This situation becomes even more expensive whenever there is a change in the rotorcraft's capabilities requiring modifications to existing RR codes or development of new RR codes, and associated flight test-based validation process. The use of physics-based simulation to act as a surrogate for actual flight tests can reduce flight test costs and streamline RR code validation. In this paper we present an approach employing state-of-the-art rotorcraft simulation platforms to validate RR codes. In addition, we describe the metrics used to evaluate the regime prediction performance of RR codes and demonstrate our approach using an existing RR code along with the insights provided by our approach.
机译：根据已公布的研究，海军旋翼机的维护费用可能高达年度运营和支持费用的45％。因此，对工具和技术的需求不断增长，这些工具和技术可以准确地预测零件和组件的剩余使用寿命，从而1）减少因零件过早处置而产生的浪费，以及2）在危害车队之前识别并更换零件，级别的就绪性和安全性。旋翼飞机的健康和使用情况监视系统（HUMS）和状态识别（RR）代码在飞机维护中起着至关重要的作用，RR代码可以帮助技术人员识别不同组件的使用情况。但是，RR代码是第三方软件，需要将它们成功地集成到基于状态的总体维护（CBM）程序之前，需要通过昂贵且耗时的飞行测试进行广泛的验证。每当旋翼飞机的能力发生变化，要求修改现有的RR代码或开发新的RR代码以及相关的基于飞行测试的验证过程时，这种情况就变得更加昂贵。使用基于物理的模拟作为实际飞行测试的替代品，可以降低飞行测试成本并简化RR代码验证。在本文中，我们提出了一种使用最新的旋翼飞机仿真平台来验证RR代码的方法。此外，我们描述了用于评估RR代码的状态预测性能的指标，并使用现有RR代码以及我们的方法提供的见解来演示我们的方法。

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