Modal classification and identification of hypersonic inlet

Abstract Based on previous research, as flight parameters change, the inlet will undergo four operating modes, among which the non-starting mode significantly degrades the quality of the inhaled airflow, thereby affecting engine performance. To identify the operating modes, this paper proposes an analysis method based on the ISOMAP dimensionality reduction model. First, preprocess the wall pressure data, and ISOMAP is used to extract features and reduce dimensionality. Then, the corresponding relationship between characteristic points and modes is established manually, and the pressure distribution is labeled and compared with the known sequence. The result shows that the established dimensionality reduction model can effectively identify the inlet operating modes, reveal four types of flow field characteristics, and provide a new method for rapid identification of inlet operating modes.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2820/1/012057
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Modal classification and identification of hypersonic inlet

Xiao Tang, Bing Xiong, Xiaoqiang Fan, Kongqiang Yang et al.
Journal of Physics Conference Series
Fault Detection and Control Systems
article

Modal classification and identification of hypersonic inlet

Xiao Tang, Bing Xiong, Xiaoqiang Fan, Kongqiang Yang, Wanhui Mou
article en

Abstract

Abstract Based on previous research, as flight parameters change, the inlet will undergo four operating modes, among which the non-starting mode significantly degrades the quality of the inhaled airflow, thereby affecting engine performance. To identify the operating modes, this paper proposes an analysis method based on the ISOMAP dimensionality reduction model. First, preprocess the wall pressure data, and ISOMAP is used to extract features and reduce dimensionality. Then, the corresponding relationship between characteristic points and modes is established manually, and the pressure distribution is labeled and compared with the known sequence. The result shows that the established dimensionality reduction model can effectively identify the inlet operating modes, reveal four types of flow field characteristics, and provide a new method for rapid identification of inlet operating modes.

Journal of Physics Conference SeriesVol. 2820(1)
National University of Defense Technology (CN), China United Network Communications Group (China) (CN)
Openalex Percentile: Top 86%
Fault Detection and Control Systems
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Modal classification and identification of hypersonic inlet — Xiao Tang, Bing Xiong, et al. · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS