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SPATIAL CORRELATION BASED STALL INCEPTION ANALYSIS

机译:基于空间相关的速降初始分析

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Investigations of stall inception and compressor pre-stall behavior have used a variety of techniques to make inferences about the mechanisms of rotating stall inception. Many of these techniques utilized data from arrays of circumferentially spaced hot-wires or high frequency response pressure transducers. This paper presents results from the application of several typical analysis techniques to the interpretation of unsteady casing pressure measurements recorded during two representative stall event in a high-speed axial compressor stage. Results from visual pressure trace inspection, spatial Fourier decomposition, wavelet filtering, and traveling wave energy techniques are presented and compared. The effects of measurement and analysis parameters are also briefly discussed. A new analysis technique based on windowed two-point spatial correlation between adjacent stall inception sensors is described. The method was found to provide both spatial and temporal information about rotating features in the compressor flow and is insensitive to low pass filtering and parameter selection over a wide range of values. It was also found to be valuable for analysis of both pre-stall and stall inception behavior.
机译:调查失速初始化和压缩机预失速行为已经使用各种技术来制造关于旋转失速初始的机制的推论。这些技术中的许多技术利用来自周向间隔的热线或高频响应压力传感器的阵列的数据。本文提出了几种典型分析技术的应用于在高速轴向压缩机级中的两个代表性失速事件中记录的不稳定壳体压力测量的解释。呈现和比较了视觉压力轨迹检查,空间傅里叶分解,小波滤波和行波能量技术的结果。还简要讨论了测量和分析参数的影响。描述了一种基于相邻的失速初始传感器之间的窗口两点空间相关性的新分析技术。发现该方法提供关于压缩机流动中的旋转特征的空间和时间信息,并且在宽范围的值范围内对低通滤波和参数选择不敏感。还发现,对术前和失速初始行为的分析,它也有价值。

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