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.
Authors
- Xiao Tang (ORCID: https://orcid.org/0000-0002-9169-5092)
- Bing Xiong (ORCID: https://orcid.org/0000-0001-6470-3993)
- Xiaoqiang Fan (ORCID: https://orcid.org/0000-0001-9630-6589)
- Kongqiang Yang
- Wanhui Mou
Institutions
- National University of Defense Technology (CN)
- China United Network Communications Group (China) (CN)
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
- Field-Weighted Citation Impact
- 0.00