CN113344471A - Method for representing weather environment adaptability of aircraft system - Google Patents
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Abstract
The application relates to the field of airplane climate environment tests, in particular to a method for representing climate environment adaptability of an airplane system, which comprises the steps of collecting system parameters of the airplane system for performing the climate environment tests in a laboratory, and constructing an airplane key system index database; acquiring airframe data, comparing the airframe data with qualification criteria corresponding to an index database, eliminating unqualified data, and constructing a factor set U for evaluating the weather environment adaptability of the aircraft system by using qualified data; determining the weight of each factor, and constructing a weight set W; setting quantitative comments on the factors of the key system of the airplane, and constructing a judgment set V; constructing a fuzzy relation matrix R from an aircraft key system factor set U to a judgment set V; comprehensively judging the climate environment adaptability B of the aircraft system through the fuzzy relation matrix R and the weight set W; and evaluating the climate environment adaptive capacity C of the airplane according to the judgment result. The method has the technical effect of accurately evaluating the adaptive capacity of the airplane environment.
Description
Technical Field
The application belongs to the field of airplane climate environment tests, electrical digital data processing in the tests is carried out, and particularly relates to a method for representing climate environment adaptability of an airplane system.
Background
In the section of the service life of the airplane, severe weather environment conditions such as high temperature, low temperature, icing and the like are inevitably encountered, and how to determine whether the airplane can realize the specified function and performance under the severe weather environment conditions is not damaged is determined, and the test and evaluation of the adaptability of the airplane to the weather environment are main methods and means for evaluating and assessing the adaptability of the airplane to the weather environment.
Although Chinese scholars make some researches on the aspect of environment adaptability modeling of airborne equipment and obtain primary results, the methods are not strong in operability in practical application. For example, an environment adaptive modeling method based on a gray correlation analytic hierarchy process faces difficulty in selecting initial data of a scheme to be evaluated. The environmental adaptive modeling method based on the environmental stress matrix and the strength matrix has the difficulty of constructing the strength matrix of the product. In the aspect of the climate environment adaptability modeling of the airplane, no suitable literature is provided for reference abroad.
The aircraft climate environment adaptability characterization comprises two stages of evaluation work: the first stage is to evaluate whether different systems of the airplane meet the approval requirements of the airplane under different climatic environment conditions, namely to judge whether the airplane can realize all the preset functions and/or performances under the climatic environment specified in the design requirements without being damaged; and the second stage is to evaluate the weather environment adaptability capability of the airplane on the basis that the airplane meets the design requirement of the weather environment adaptability. The evaluation work is mainly data processing of electrical numbers.
The fuzzy comprehensive evaluation is an evaluation method based on fuzzy mathematics, and a method for evaluating by using a fuzzy set theory. Specifically, the method is a method for comprehensively evaluating the membership grade state of an evaluated object from a plurality of factors by applying the principle of fuzzy relation synthesis. The multi-stage fuzzy comprehensive evaluation is an effective method for evaluating a plurality of comprehensive problems, and is widely applied to a plurality of engineering fields. The evaluation principle is that first-level comprehensive evaluation is carried out in a lower level, and then second-level comprehensive evaluation is carried out in a higher level on the basis of the evaluation.
At present, mainly aiming at the climate environment adaptability characterization of an aircraft system, the climate environment adaptability influence factors of different systems of the aircraft are considered, the performance parameters of the systems are combined, the climate environment adaptability characterization flow of the aircraft system is established, and the result is evaluated to support the modification optimization design of the aircraft.
Disclosure of Invention
The application aims to provide a method for representing the climate environmental adaptability of an aircraft system, so as to solve the problem that the environmental adaptability of the aircraft is difficult to evaluate in the prior art.
The technical scheme of the application is as follows: a method for representing weather environment adaptability of an aircraft system comprises the steps of collecting system parameters of the aircraft system in a weather environment test in a laboratory, and constructing an aircraft key system index database; acquiring airframe data, comparing the airframe data with qualification criteria corresponding to an index database, eliminating unqualified data, and constructing a factor set U for evaluating the weather environment adaptability of the aircraft system by using qualified data; determining the weight of each factor, and constructing a weight set W; setting quantitative comments on the factors of the key system of the airplane, and constructing a judgment set V; constructing a fuzzy relation matrix R from an aircraft key system factor set U to a judgment set V; comprehensively judging the climate environment adaptability B of each factor of the aircraft system through the fuzzy relation matrix R and the weight set W; and evaluating the climate environment adaptive capacity C of the airplane according to the judgment result.
Preferably, the degree of closeness of each factor and each comment is determined by a membership function to form a fuzzy relation matrix R, wherein the fuzzy relation matrix R is,
in the formula:
and (3) representing the membership degree of the ith factor to the jth comment, wherein the value range of the membership degree is 0-1,0 represents complete independence, and 1 represents complete coincidence.
Preferably, the evaluation result vector is obtained by means of a synthesis operation through the obtained fuzzy relation matrix R and the weight set W,
wherein the content of the first and second substances,
evaluating the membership degree of the object to the jth factor in the comment set when comprehensively considering all the influences;
the climate environment adaptability B of the airplane system is evaluated through primary evaluation and secondary evaluation, the climate environment adaptability B of each factor is obtained through the primary evaluation, the primary evaluation result is as follows,
the secondary evaluation obtains the sum of the climatic environment adaptability B of the sub-factors of each factor, the secondary comprehensive evaluation result is as follows,
preferably, the climate environmental adaptability B corresponding to each factor and the judgment set V corresponding to each factor are obtained, the environment adaptability of the airplane is determined by adopting a weighted average method,
preferably, the influence of each factor on the climate environment adaptability is analyzed, a weight set is established, the weight set W is expressed as,
in the formula (I), the compound is shown in the specification,
is the weight of climate environmental adaptability occupied by the ith factor, and
。
preferably, if the i-th factor further comprises kiA sub-factor, then,
in the formula (I), the compound is shown in the specification,
is the weight occupied by the p sub-factor of the ith factor, and
。
preferably, if there are n comments to the evaluation object, the comment set V is marked,
in the formula (I), the compound is shown in the specification,
is the j-th comment for that factor.
Preferably, the various factors affecting the aircraft system are analyzed to determine the number of factors, and the set of factors are recorded,
in the formula of UiIs the ith factor that affects the aircraft system.
Preferably, the establishment method of the index database comprises the steps of determining the main influence of the climate environment on the aircraft system and corresponding key parameters according to the climate environment adaptability requirement of the aircraft system in the design stage, and collecting system parameter data of the aircraft for performing the climate test in a laboratory;
and importing the collected data of the system parameters into Matlab by adopting Excel, processing the data, ensuring the dimension of each data to be consistent, and removing invalid data.
An aircraft climate environment laboratory comprises a data acquisition unit and a data processing unit.
According to the method for representing the climate environment adaptability of the aircraft system, a fuzzy comprehensive evaluation method is adopted, a factor set U influencing the climate environment adaptability of the aircraft system is established by comparing index databases, then quantitative comments are set for factors of a key system of the aircraft, a judgment set V is established, a fuzzy relation matrix R is formed through fuzzy mapping, the climate environment adaptability of each factor is calculated through synthesis operation by combining the weight of each factor, and finally the aircraft environment adaptability is obtained through a weighted average method, so that the climate environment adaptability of the aircraft system is accurately and clearly evaluated.
Preferably, the degree of closeness of each factor and each comment is determined through a membership function, so that a fuzzy relation matrix is formed, and therefore the adaptability of each factor of the aircraft system is effectively and quantitatively evaluated.
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In order to more clearly illustrate the technical solutions provided by the present application, the following briefly introduces the accompanying drawings. It is to be expressly understood that the drawings described below are only illustrative of some embodiments of the invention.
FIG. 1 is a schematic view of the overall flow structure of the present application;
FIG. 2 is a schematic diagram of the logical structure of the data of the present application as selected according to eligibility criteria;
fig. 3 is a schematic diagram of the logic result of the climate environment adaptive ability obtained by the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application.
A method for representing the adaptability of an aircraft system to a climate environment processes electrical digital data generated in a test process.
Because there are many factors affecting the adaptability of the aircraft to the climate environment, and different factors have different influences on the adaptability of the aircraft to the climate environment, some factors have large influence and some factors have small influence, and the environmental adaptation conditions of different factors are different, for example, some factors are resistant to high temperature and some factors are resistant to low temperature, the adaptability of each factor is difficult to determine, and the adaptation degree is difficult to determine, the qualitative assessment of the adaptability of the aircraft to the climate environment is difficult.
In order to evaluate the climate environment adaptability of the airplane, a quantitative evaluation method is adopted, and the fuzzy comprehensive evaluation theory is adopted to quantitatively evaluate the climate environment adaptability of the airplane system.
As shown in fig. 1, 2, and 3, the present invention includes:
s100, collecting system parameters obtained by a climate environment test of an aircraft system in a laboratory, and constructing an aircraft key system index database;
s200, collecting organism data, comparing the organism data with qualification criteria corresponding to an index database, eliminating unqualified data, and constructing a factor set U for evaluating the weather environment adaptability of the aircraft system by using qualified data;
step S300, determining the weight of each factor to form a weight set W;
s400, setting quantitative comments on key system factors of the airplane to form a judgment set V;
s500, constructing a fuzzy relation matrix R from a key system factor set U of the airplane to a judgment set V;
s600, comprehensively judging the climate environment adaptability B of each factor of the aircraft system through the fuzzy relation matrix R and the weight set W;
and S700, evaluating the climate environment adaptive capacity C of the airplane according to the judgment result.
The evaluation is carried out on the weather environment adaptability of the airplane, the weather environment adaptability is evaluated, the evaluation result is clear, the comprehensiveness is strong, the evaluation model integration level is high, and a basis is provided for improvement of the weather environment adaptability of the airplane system by a host factory.
Preferably, the degree of closeness of each factor to each comment is determined by a membership function to form a fuzzy relation matrix R, which is,
in the formula:
the membership degree of the ith factor to the jth comment is expressed, the membership degree can be understood as the degree that a certain factor is close to a certain comment, the value range of the membership degree is 0-1,0 represents complete independence, and 1 represents complete coincidence.
And effectively carrying out quantitative evaluation on the adaptability of each factor of the aircraft system through the fuzzy relation matrix.
Preferably, the evaluation result vector is obtained by means of a synthesis operation through the obtained fuzzy relation matrix R and the weight set W,
wherein the content of the first and second substances,
a fuzzy synthesis operation method, selects a proper synthesis method according to different evaluation objects,
and evaluating the membership degree of the object to the jth factor in the comment set for comprehensively considering all the influences.
After the evaluation matrix R and the weight set W are determined, determining a climate environment adaptability evaluation matrix of the airplane, and evaluating the climate annular adaptability B of the airplane system through primary evaluation and secondary evaluation, wherein the primary evaluation respectively obtains the climate environment adaptability B of each factor, and the primary evaluation is R in the fuzzy relation matrix R1To rmThe results of the first-order evaluation were as follows,
obtaining the sum of the climate environmental adaptability B of the sub-factors of each factor through secondary evaluation, wherein the secondary evaluation is R in the fuzzy correlation matrix R1To rnThe results of the second-level comprehensive evaluation are as follows,
if each sub-factor comprises a plurality of sub-factors, calculation is performed by adopting a secondary comprehensive evaluation mode, which is not described herein again.
By adopting a primary evaluation mode and a secondary evaluation mode, the weather environment adaptability of each factor of the airplane system can be accurately evaluated.
Preferably, the climate environmental adaptability B corresponding to each factor and the judgment set V corresponding to each factor are obtained, the environment adaptability of the airplane is determined by adopting a weighted average method,
the fuzzy evaluation method is adopted to evaluate the environmental adaptability of the airplane, and the evaluation result has reference significance for airplane modification design and improvement of the environmental adaptability of the airplane in active service.
Preferably, when the climate environment adaptability of the aircraft system is evaluated, different factors are considered to have different influences on the climate environment adaptability, and the weight set is a set of the weight occupied by each factor in the comprehensive evaluation. By analyzing the influence of each factor on the environmental adaptability, a weight set is established, the weight set W is expressed as,
in the formula (I), the compound is shown in the specification,
is the weight of climate environmental adaptability occupied by the ith factor, and
。
if the ith factor further includes kiA sub-factor, then,
in the formula (I), the compound is shown in the specification,
is the weight occupied by the p sub-factor of the ith factor, and
. By analyzing the weight of each factor and each sub-factor, the weight of each factor can be accurately obtained to form a weight set W.
Preferably, the comment set is a set describing or quantitatively grading the evaluation object, for example, the environmental suitability may be good, good and poor, which are descriptions of the evaluation object, and the comment may be a qualitative description or a quantitative value. When a qualitative description of a factor, such as good or bad, is made, the comment is also quantitatively assigned within a certain range to enable subsequent calculations. If n comments exist for the evaluation object, the comment set V is marked as:
in the formula (I), the compound is shown in the specification,
is the j-th comment for that factor.
Preferably, the analysis place influences the set of factors of the aircraft system, such as the set of factors influencing the evaluation result of the adaptability of the low-temperature environment of the engine nacelle, including closing force, opening time and the like. And then comparing the environmental suitability with the qualification criterion of the index database to meet the requirement of environmental suitability, if the environmental suitability is not qualified, not including the environmental suitability into the factor set U, and if the environmental suitability is qualified, performing environmental suitability evaluation and including the environmental suitability into the factor set U. If there are n factors, the factor set U is recorded as:
in the formula of UiIs the ith factor that affects the aircraft system.
Fan shroud latch L1 for an engine nacelle is designated U21The fan cover lock catch L2 is marked as U22OGV torsion box lock L3 is marked as U23The lock beam lock L4 is marked as U24And the like.
Preferably, the establishment method of the index database comprises the steps of determining the main influence of the climate environment on the aircraft system according to the climate environment adaptability requirement of the aircraft system in the design stage, combing out key parameters, and collecting system parameter data of the aircraft for performing the climate test in a laboratory.
Analyzing weather environment adaptability parameter data influencing aircraft system factors, such as opening force and opening time of an engine nacelle, wherein the opening force of the lock catch comprises opening forces of different lock catches, such as opening force of a fan cover lock catch, opening force of an OGV torsion box lock catch, opening force of a lock catch beam lock catch and the like.
The collected system parameters are led into Matlab by Excel due to the uncertainty of parameter dimensions, data are processed, the dimensions of the data are guaranteed to be consistent, invalid data are removed, and the consistency and the precision of the collected parameters are guaranteed.
As a specific implementation manner, the aircraft climate environment laboratory further comprises a data acquisition unit and a data processing unit, and the data processing unit can accurately evaluate the climate environment adaptability of the aircraft system by using the method so as to provide a basis for improving the climate environment adaptability of the aircraft system.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of characterizing the climatic environmental suitability of an aircraft system, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting system parameters of a climate environment test of an aircraft system in a laboratory, and constructing an aircraft key system index database;
acquiring airframe data, comparing the airframe data with qualification criteria corresponding to an index database, eliminating unqualified data, and constructing a factor set U for evaluating the weather environment adaptability of the aircraft system by using qualified data;
determining the weight of each factor, and constructing a weight set W;
setting quantitative comments on the factors of the key system of the airplane, and constructing a judgment set V;
constructing a fuzzy relation matrix R from an aircraft key system factor set U to a judgment set V;
comprehensively judging the climate environment adaptability B of each factor of the aircraft system through the fuzzy relation matrix R and the weight set W;
and evaluating the climate environment adaptive capacity C of the airplane according to the judgment result.
2. A method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: determining the proximity degree of each factor and each comment through a membership function to form a fuzzy relation matrix R,
in the formula:
and (3) representing the membership degree of the ith factor to the jth comment, wherein the value range of the membership degree is 0-1,0 represents complete independence, and 1 represents complete coincidence.
3. A method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: obtaining an evaluation result vector by adopting a synthetic operation mode through the obtained fuzzy relation matrix R and the weight set W,
wherein the content of the first and second substances,
evaluating the membership degree of the object to the jth factor in the comment set when comprehensively considering all the influences;
the climate environment adaptability B of the airplane system is evaluated through primary evaluation and secondary evaluation, the climate environment adaptability B of each factor is obtained through the primary evaluation, the primary evaluation result is as follows,
the secondary evaluation obtains the sum of the climatic environment adaptability B of the sub-factors of each factor, the secondary comprehensive evaluation result is as follows,
4. a method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: determining the environmental adaptability of the airplane by a weighted average method through the obtained climate environmental adaptability B corresponding to each factor and the evaluation set V corresponding to each factor,
5. a method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: analyzing the influence of each factor on the adaptability of the climate environment, establishing a weight set, wherein the weight set W is expressed as,
in the formula (I), the compound is shown in the specification,
is the weight of climate environmental adaptability occupied by the ith factor, and
。
6. a method of characterizing the climatic environmental suitability of an aircraft system according to claim 5, characterized in that: if the ith factor further includes kiA sub-factor, then,
in the formula (I), the compound is shown in the specification,
is the weight occupied by the p sub-factor of the ith factor, and
。
7. a method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: if the evaluation object has n comments, the comment set V is marked,
in the formula (I), the compound is shown in the specification,
is the j-th comment for that factor.
8. A method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: analyzing various factors influencing the airplane system, determining the number of the factors, recording the factor set as,
in the formula of UiIs the ith factor that affects the aircraft system.
9. A method of characterizing the climatic environmental suitability of an aircraft system according to claim 1, wherein: the establishment method of the index database comprises the steps of determining the main influence of the climate environment on the aircraft system and corresponding key parameters according to the climate environment adaptability requirement of the aircraft system in the design stage, and collecting system parameter data of the aircraft for performing a climate test in a laboratory;
and importing the collected data of the system parameters into Matlab by adopting Excel, processing the data, ensuring the dimension of each data to be consistent, and removing invalid data.
10. An aircraft climate environment laboratory comprising a data acquisition unit and a data processing unit, said data processing unit employing the method according to any of claims 1-9.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793053A (en) * | 2021-09-23 | 2021-12-14 | 贵州航天天马机电科技有限公司 | Method for creating and evaluating environmental adaptability evaluation system of ground equipment |
| CN113933086A (en) * | 2021-12-17 | 2022-01-14 | 中国飞机强度研究所 | Method for optimizing cutting condition of low-temperature environment test of complete airplane in laboratory |
| CN114048633A (en) * | 2021-12-24 | 2022-02-15 | 中国飞机强度研究所 | Airplane high and cold test matrix design method |
| CN114056599A (en) * | 2021-12-23 | 2022-02-18 | 中国飞机强度研究所 | Airplane climate environment adaptive capacity evaluation method based on grey correlation degree |
| CN114398769A (en) * | 2021-12-29 | 2022-04-26 | 中国人民解放军92728部队 | Automatic score obtaining method for unmanned helicopter flight control system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853320A (en) * | 2010-05-17 | 2010-10-06 | 北京航空航天大学 | Fuzzy comprehensive evaluation method suitable for aircraft structure corrosion damage |
| CN105023067A (en) * | 2015-08-04 | 2015-11-04 | 环境保护部南京环境科学研究所 | Analytic hierarchy process-fuzzy comprehensive evaluation-based chemical project environmental risk evaluation system |
| JP2016173722A (en) * | 2015-03-17 | 2016-09-29 | 日本電気株式会社 | Unmanned aircraft operation system, and control method of the same |
| CN110271691A (en) * | 2019-07-05 | 2019-09-24 | 中国飞机强度研究所 | Aircraft climate ambient lab temperature calibrates layout structure, acquisition system and method |
| CN110299192A (en) * | 2019-06-28 | 2019-10-01 | 中国兵器工业第五九研究所 | A kind of environmental suitability evaluation method of firearm components and its composite material, high molecular material |
| CN111413563A (en) * | 2020-03-31 | 2020-07-14 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Method for determining environmental adaptability test conditions of helicopter airborne electronic equipment |
-
2021
- 2021-08-03 CN CN202110887263.9A patent/CN113344471B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853320A (en) * | 2010-05-17 | 2010-10-06 | 北京航空航天大学 | Fuzzy comprehensive evaluation method suitable for aircraft structure corrosion damage |
| JP2016173722A (en) * | 2015-03-17 | 2016-09-29 | 日本電気株式会社 | Unmanned aircraft operation system, and control method of the same |
| CN105023067A (en) * | 2015-08-04 | 2015-11-04 | 环境保护部南京环境科学研究所 | Analytic hierarchy process-fuzzy comprehensive evaluation-based chemical project environmental risk evaluation system |
| CN110299192A (en) * | 2019-06-28 | 2019-10-01 | 中国兵器工业第五九研究所 | A kind of environmental suitability evaluation method of firearm components and its composite material, high molecular material |
| CN110271691A (en) * | 2019-07-05 | 2019-09-24 | 中国飞机强度研究所 | Aircraft climate ambient lab temperature calibrates layout structure, acquisition system and method |
| CN111413563A (en) * | 2020-03-31 | 2020-07-14 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Method for determining environmental adaptability test conditions of helicopter airborne electronic equipment |
Non-Patent Citations (6)
| Title |
|---|
| YAN WANG ET AL: "Warplane EME Adaptability Prediction Technology Based on Multiple Physical Fields Union", 《2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY (ICEICT)》 * |
| 冯志高，关成启，张红文著: "《高超声速飞行器概论》", 31 December 2016 * |
| 李曙林等: "军用飞机环境适应性评价模型", 《航空学报》 * |
| 李雅等: "飞行试验阶段航空产品环境适应性评价方法", 《航空标准化与质量》 * |
| 杨阳等: "基于灰色模糊理论的飞行保障装备高原环境适应性评估", 《装甲兵工程学院学报》 * |
| 袁大天等: "直升机航电系统高原高寒环境适应性评估", 《装备环境工程》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793053A (en) * | 2021-09-23 | 2021-12-14 | 贵州航天天马机电科技有限公司 | Method for creating and evaluating environmental adaptability evaluation system of ground equipment |
| CN113793053B (en) * | 2021-09-23 | 2024-05-14 | 贵州航天天马机电科技有限公司 | Method for creating and evaluating ground equipment environment adaptability evaluation system |
| CN113933086A (en) * | 2021-12-17 | 2022-01-14 | 中国飞机强度研究所 | Method for optimizing cutting condition of low-temperature environment test of complete airplane in laboratory |
| CN113933086B (en) * | 2021-12-17 | 2022-02-22 | 中国飞机强度研究所 | Method for optimizing cutting condition of low-temperature environment test of complete airplane in laboratory |
| CN114056599A (en) * | 2021-12-23 | 2022-02-18 | 中国飞机强度研究所 | Airplane climate environment adaptive capacity evaluation method based on grey correlation degree |
| CN114056599B (en) * | 2021-12-23 | 2022-04-08 | 中国飞机强度研究所 | Airplane climate environment adaptive capacity evaluation method based on grey correlation degree |
| CN114048633A (en) * | 2021-12-24 | 2022-02-15 | 中国飞机强度研究所 | Airplane high and cold test matrix design method |
| CN114048633B (en) * | 2021-12-24 | 2022-04-12 | 中国飞机强度研究所 | Airplane high and cold test matrix design method |
| CN114398769A (en) * | 2021-12-29 | 2022-04-26 | 中国人民解放军92728部队 | Automatic score obtaining method for unmanned helicopter flight control system |
| CN114398769B (en) * | 2021-12-29 | 2023-06-23 | 中国人民解放军92728部队 | Automatic scoring acquisition method for unmanned helicopter flight control system |
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