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An abnormal data detection method for aerodynamic data sets

An abnormal data detection and aerodynamic technology, applied in the field of aerodynamic data sets, to achieve the effect of reducing computational complexity

Active Publication Date: 2022-04-29
SOUTHWEAT UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art and provide a method for detecting abnormal data in aerodynamic data sets to solve or improve the above-mentioned problems

Method used

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  • An abnormal data detection method for aerodynamic data sets
  • An abnormal data detection method for aerodynamic data sets
  • An abnormal data detection method for aerodynamic data sets

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Embodiment Construction

[0048] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0049] According to an embodiment of the present application, refer to figure 1 , the abnormal data detection method of the aerodynamic data set of this program, including:

[0050] S1. According to the defined independent variable and dependent variable relationship pairs, three groups of independent variables and dependent variables are obtained;

[0051] S2. Based on the robust least squares regression method, the three...

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Abstract

The invention discloses a method for detecting abnormal data of an aerodynamic data set, including S1, obtaining three sets of independent variables and dependent variables according to defined independent variable and dependent variable relationship pairs; S2, based on a robust least squares regression method, and at the same time Regression is performed on the three sets of independent variables and dependent variables to obtain three β i , i=1,2,3, where β i is the coefficient; S3, respectively calculate the standardized predicted value and standardized residual of the three groups of dependent variables, and obtain three new two-dimensional data sets; S4, perform single-link hierarchical aggregation on the three new two-dimensional data sets obtained in S3 Classes, the largest class is used as the pure data set for abnormal data set detection, and the abnormal data of the three-time clustering is merged as the abnormal data of the whole data.

Description

technical field [0001] The invention belongs to the technical field of aerodynamic data sets, and in particular relates to an abnormal data detection method of an aerodynamic data set. Background technique [0002] Aerodynamic (referred to as aerodynamic) data set / database (Aerodynamic database) refers to the aerodynamic data set within the range of the flight envelope produced in an organized and planned manner during the aerodynamic design process of the aircraft, generally through CFD calculation, wind tunnel test, flight test obtained by other means. For example, in the literature "Pamadi B N, Brauckmann G J, Ruth M J, et al. Aerodynamic Characteristics, Database Development, and Flight Simulation of the X-34 Vehicle [J]. Journal of Spacecraft and Rockets, 2001, 38(3): 334-344." Introduced the establishment of the aerodynamic data set of the X-34 aircraft through wind tunnel tests, engineering calculations and other methods; the literature "Engelund W C, Holland S D, Co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/18G06K9/62
CPCG06F17/18G06F18/23
Inventor 黄俊杨海强刘志勤李光伟陈波王庆凤黎茂锋
Owner SOUTHWEAT UNIV OF SCI & TECH
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