航空发动机瞬态气路分析参数选择

IF 1.1 Q4 ENGINEERING, MECHANICAL
Kun Yang, Qiuye Tu, Yunhao Zeng, Jing Xuan
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引用次数: 0

摘要

与稳态数据相比,发动机暂态数据涵盖的部件工作范围更广,工况更复杂,能够提供更丰富的发动机健康状态信息。为了充分利用发动机瞬态数据,本文介绍了在构建航空发动机气路分析系统时如何选择合适的测量参数和健康参数的方法。在此基础上,提出了一种基于灵敏度分析的测量选择方法——最小可识别损失(MIL)。为了降低估计的不确定性,提出了在有限测量条件下选取最优健康参数的最大线性无关群分析方法。最后,基于瞬态数据的组件健康状态识别分析也很好地解释了气路分析的“涂抹效应”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter selection for aeroengine transient state gas path analysis
Compared with steady state data, engine transient state data cover a wider working scope of components, more complex operating conditions, and therefore can provide more abundant information regarding engine health status. To make the fullest use of engine transient data, this paper presents the methods on how to choose the proper measurements and health parameters when constructing an aeroengine gas path analysis system. The measurement selection based on sensitivity analysis is conducted, compared to which an effortless measurement selection method termed Minimum Identifiability Loss (MIL) is proposed. Aiming to reduce the estimation uncertainty, the analysis of maximal linearly independent group is presented to select optimal health parameters under the condition of limited measurements. Finally, the component health status identifiability analysis base on transient data also gives a good explanation to gas path analysis “smearing effect”.
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来源期刊
Journal of the Global Power and Propulsion Society
Journal of the Global Power and Propulsion Society Engineering-Industrial and Manufacturing Engineering
CiteScore
2.10
自引率
0.00%
发文量
21
审稿时长
8 weeks
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