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Intelligent selection algorithm for aerodynamic heat test data

A test data, aerodynamic heating technology, applied in computing, computer components, neural learning methods, etc., can solve problems such as large errors, large data volumes, and various types of thermal test data, saving time and labor costs.

Active Publication Date: 2019-07-19
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0006] The problem to be solved by the present invention is that the thermal test data has the characteristics of many types, large amount of data, low efficiency of manual labeling, and large error

Method used

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  • Intelligent selection algorithm for aerodynamic heat test data
  • Intelligent selection algorithm for aerodynamic heat test data
  • Intelligent selection algorithm for aerodynamic heat test data

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Embodiment Construction

[0028] The embodiment of the invention is described in detail, and the present embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation and specific operation process are provided. The hardware system diagram of the aerothermal test is as follows Figure 5 As shown, the functional diagram of the aerothermal test software is shown in Image 6 Shown, but the scope of protection of the present invention is not limited to the following examples.

[0029] like Image 6 As shown, the main steps of this embodiment include: the first step, obtaining wind tunnel test data; the second step, data segment classification CNN, obtaining normal data; the third step, truncating normal data; the fourth step, constructing and judging CNN; In the fifth step, the trained judgment CNN processes the test data; in the sixth step, the marked position is output.

[0030] The specific implementation steps are as follows:

[0031] Ste...

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Abstract

At present, the selection of an effective data segment of a pneumatic thermal test mainly depends on the manual interpretation and marking, the workload is large, and the time and labor are consumed.The invention provides a method for automatically selecting data segments. The method comprises the following specific steps of step 1, collecting the heat measurement test data; step 2, classifying the heat measurement test data through the CNN, and outputting the effective data; step 3, intercepting data by a sliding window; 4, judging data by using a CNN network; 5, outputting the correct probability of the effective data segment; and 6, determining an initial labeling position. The method provided by the invention has the adaptive capacity, can effectively improve the extraction efficiencyof the heat measurement test data, and has the very important significance for the design of a heat-proof structure and the flight safety of a hypersonic flight vehicle.

Description

technical field [0001] The invention relates to a technique in the field of aerothermal test data processing, in particular to a novel automatic labeling method for test data. Background technique [0002] At present, hypersonic vehicles are the focus of research in the field of military aerospace in various countries, such as space shuttles, manned spacecraft, and fourth- and fifth-generation fighters. For the research and design of hypersonic vehicles, the problem of thermal protection of aircraft under hypersonic flight conditions It has always been a key technology in the development of hypersonic vehicles. As the design basis for thermal protection structure design and material selection, the aerothermal problem on the surface of hypersonic vehicles has always been the focus and key technology of hypersonic technology research. Therefore, accurate and effective automatic labeling of aerothermal test data is an important basic work in the field of aerothermal, which is ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06N3/044G06F18/2415
Inventor 郭磊林滋宜王瑞林王俊曾磊宗文刚王秋然张克乐潘仲赢柴聪聪曾家明
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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