Rotor Track and Balance (RTB) is an important part of regular helicopter maintenance. The ability to perform this service assessment during normal operations, rather than with a series of explicit RTB flights, would greatly reduce the time the vehicle is non-operational and the maintenance costs associated with these flights and adjustments. This paper presents a novel methodology for identifying the RTB-related flight regimes, using a minimal number of vibration signals and comparing these to repeatable and stable characteristic vibration profiles. The technique is stable, with an 81% success in correct identification of the flight regime, when applied to a whole flight with a number of unknown regime events. The method can be run in real time, making it an effective way of identifying periods of flight that are suitable for RTB measurements. A new technique for visually representing any real-time flight signal, such as vibration, is also presented.

中文翻译：

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使用仅振动传感器数据自动检测转子轨道和平衡状态

旋翼跟踪与平衡 (RTB) 是直升机常规维护的重要组成部分。在正常运行期间执行此服务评估的能力，而不是一系列明确的 RTB 飞行，将大大减少车辆不运行的时间以及与这些飞行和调整相关的维护成本。本文提出了一种新的方法来识别与 RTB 相关的飞行状态，使用最少数量的振动信号并将这些信号与可重复和稳定的特征振动曲线进行比较。该技术是稳定的，当应用于具有许多未知状态事件的整个飞行时，正确识别飞行状态的成功率为 81%。该方法可以实时运行，使其成为识别适合 RTB 测量的飞行时段的有效方法。