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Progress in Operational Analysis of Launch Vehicles in Nonstationary Flight

机译：非营养航班发动机运营分析的进展

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This paper presents recent results in an ongoing effort to understand and develop techniques to process launch vehicle data, which is extremely challenging for modal parameter identification. The primary source of difficulty is due to the non-stationary nature of the situation. The system is changing, the environment is not steady, and there is an active control system operating. Hence, the primary tool for producing clean operational results (significant data lengths and data averaging) is not available to the user. This work reported herein uses a correlation-based two step operational modal analysis approach to process the relevant data sets for understanding and development of processes. A significant drawback for such processing of short time histories is a series of beating phenomena due to the inability to average out random modal excitations. A recursive correlation process coupled to a new convergence metric (designed to mitigate the beating phenomena) is the object of this study. It has been found in limited studies that this process creates clean modal frequency estimates but numerically alters the damping.
机译：本文介绍了最近的结果，持续努力了解和开发工艺发射车辆数据的技术，这对于模态参数识别非常具有挑战性。主要难度是由于情况的非静止性质。系统正在发生变化，环境不稳定，并且有一个主动控制系统运行。因此，用户不可用用于产生清洁操作结果的主要工具（有效的数据长度和数据平均值）。本文报告的这项工作采用基于相关的两个步骤操作模态分析方法来处理相关数据集以用于了解和开发过程。由于无法平均随机模态激发，这种短时间历史处理的显着缺点是一系列跳动现象。递归相关过程耦合到新的收敛度量（旨在减轻搏动现象）是本研究的目的。已经在有限的研究中发现了该过程创造清洁的模态频率估计，但数值变化了阻尼。

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