A high-profile skid landing gear performance reliability detection method and system

By performing parameter calculation and correlation analysis on the high-profile skid landing gear and building a reliability detection knowledge base, the problem of low accuracy in performance reliability detection of the high-profile skid landing gear was solved, the accuracy of detection was improved, and the safety of the helicopter and crew was ensured.

CN116834968BActive Publication Date: 2025-09-30SHAANXI CHINA AERO IND GAS SPRING
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Patent Information

Application Number
CN202310582818.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-22
Publication Date
2025-09-30
Estimated Expiration
2043-05-22

AI Technical Summary

Technical Problem

The accuracy of high-profile skid landing gear performance reliability testing is low, affecting the safety of the helicopter and crew.

Method used

By calculating the parameters of the high-profile skid landing gear to be tested, the stiffness and landing performance calculation results are obtained. The historical performance calculation results and the actual performance reliability results are combined for correlation analysis, a reliability testing knowledge base is constructed, and the reliability testing indicators are used for testing.

Benefits of technology

The accuracy of the high-profile skid landing gear performance reliability test is improved, the stability of the device is guaranteed, and thus the safety of the helicopter and crew is guaranteed.

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Patent Text Reader

Abstract

The present application relates to the technical field of product testing, and provides a method and system for testing the performance reliability of a high-profile skid landing gear. The method comprises: obtaining performance calculation results of a high-profile skid landing gear to be tested; obtaining historical performance calculation results and actual performance reliability results of multiple high-profile skid landing gears; performing correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain correlation analysis results; obtaining actual performance reliability prediction results based on the correlation analysis results and the performance calculation results; and constructing a reliability testing knowledge base, and testing the performance reliability of the high-profile skid landing gear to be tested based on reliability testing indicators, the actual performance reliability prediction results, and the reliability testing knowledge base. This method can solve the technical problem of low accuracy in performance reliability testing of high-profile skid landing gear.
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Description

Technical Field

[0001] The present application relates to the field of product testing technology, and in particular to a method and system for testing the performance reliability of a high-profile skid landing gear. Background Art

[0002] A high-profile skid landing gear is a landing device mounted on the helicopter fuselage. It absorbs landing energy, reduces landing loads, and transfers ground loads. It supports takeoff and landing on the ground and provides an interface with ground taxiing equipment. It primarily consists of a front cross tube, a rear cross tube, a skid tube, boarding steps, and maintenance steps.

[0003] The impact energy of a high-profile skid landing gear during landing is primarily absorbed by the elastic and plastic deformation of the front and rear cross tubes. The rigidity of each component determines its reliability and durability. Therefore, testing the performance reliability of high-profile skid landing gear requires a comprehensive set of testing methods and processes. Testing based solely on performance indicators can result in inaccurate reliability testing, indirectly endangering the safety of the helicopter and crew.

[0004] In summary, the prior art has a technical problem of low accuracy in performance reliability detection of high-profile skid landing gear. Summary of the Invention

[0005] Based on this, it is necessary to provide a high-profile skid landing gear performance reliability detection method and system to address the above technical issues.

[0006] A method for detecting the performance reliability of a high-profile skid landing gear is applied to a high-profile skid landing gear performance reliability detection system, and comprises: obtaining performance calculation results of a high-profile skid landing gear to be detected; obtaining historical performance calculation results and actual performance reliability results of multiple high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship; performing correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain correlation analysis results; obtaining actual performance reliability prediction results based on the correlation analysis results and the performance calculation results; and constructing a reliability detection knowledge base, and detecting the performance reliability of the high-profile skid landing gear to be detected based on reliability detection indicators, the actual performance reliability prediction results, and the reliability detection knowledge base.

[0007] In one embodiment, the method further includes: calculating the stiffness and strength of the high-attitude ski landing gear to be tested based on the landing condition type to obtain stiffness and strength calculation results; performing landing performance calculation on the high-attitude ski landing gear to be tested to obtain a landing performance calculation result; and obtaining the performance calculation result based on the stiffness and strength calculation results and the landing performance calculation result.

[0008] In one embodiment, the method further includes: the landing condition types include a vertical landing condition, a landing condition with forward flight speed, a sideways landing condition, and a single skid horizontal landing condition; based on the landing condition types, stiffness calculations are performed on each component of the high-attitude skid landing gear to be tested, including a front cross tube, a rear cross tube, a slide tube, a boarding pedal, and a maintenance pedal, to obtain stiffness calculation results; based on the landing condition types, strength calculations are performed on each component of the high-attitude skid landing gear to be tested, to obtain strength calculation results; and the stiffness-strength calculation results are obtained based on the stiffness calculation results and the strength calculation results.

[0009] In one embodiment, the method further includes: obtaining ground reaction forces of the front and rear cross tubes of the high-attitude ski landing gear to be tested; obtaining deformations of the front and rear cross tubes of the high-attitude ski landing gear to be tested; calculating a performance relationship curve based on the ground reaction forces and the deformations; and obtaining the landing performance calculation result according to the performance relationship curve.

[0010] In one embodiment, it also includes: performing correlation evaluation on the historical performance calculation results and the actual performance reliability results to obtain multiple correlation evaluation coefficients; based on the correlation evaluation coefficient threshold, screening the multiple correlation evaluation coefficients to obtain multiple correlation evaluation results corresponding to multiple correlation evaluation coefficients that meet the correlation evaluation coefficient threshold; performing feature fusion on the multiple correlation evaluation results to obtain the correlation analysis result.

[0011] In one embodiment, the method further includes: extracting features from the correlation analysis results to obtain correlation feature data; matching the performance calculation results based on the correlation feature data to obtain performance matching calculation results; and generating the actual performance reliability prediction results based on the performance matching calculation results.

[0012] In one embodiment, the method further includes: performing a product type analysis on the high-profile ski landing gear to be tested to obtain a product type analysis result; obtaining a first performance reliability testing scheme based on the product type analysis result and the reliability testing knowledge base; and performing an item-by-item performance reliability testing on the high-profile ski landing gear to be tested according to the first performance reliability testing scheme, the reliability testing index, and the actual performance reliability prediction result.

[0013] A high-profile skid landing gear performance reliability detection system, the system comprising:

[0014] a performance calculation result obtaining module, wherein the performance calculation result obtaining module is used to obtain a performance calculation result of the high-profile skid landing gear to be tested;

[0015] a historical information acquisition module, the historical information acquisition module being used to obtain historical performance calculation results and actual performance reliability results of a plurality of high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship;

[0016] A correlation analysis module, configured to perform a correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain a correlation analysis result;

[0017] A prediction result obtaining module, configured to obtain an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result;

[0018] A performance reliability detection module is used to build a reliability detection knowledge base, and to detect the performance reliability of the high-profile skid landing gear to be detected based on reliability detection indicators, the actual performance reliability prediction results and the reliability detection knowledge base.

[0019] The above-mentioned method and system for detecting the performance reliability of a high-profile skid landing gear can solve the technical problem of low accuracy in detecting the performance reliability of a high-profile skid landing gear. First, by performing parameter calculation on the high-profile skid landing gear to be detected, the stiffness calculation results and the landing performance calculation results are obtained, and further the performance calculation results of the high-profile skid landing gear to be detected are obtained; then, based on the correlation between the historical performance calculation results and the actual performance reliability results, a correlation analysis result is obtained; based on the correlation analysis result and the performance calculation result, an actual performance reliability prediction result is obtained; a reliability detection knowledge base is constructed using big data technology, and finally, based on the reliability detection index, the actual performance reliability prediction result and the reliability detection knowledge base, the performance reliability of the high-profile skid landing gear to be detected is detected. This improves the accuracy of the performance reliability detection of the high-profile skid landing gear, ensures the stability of the performance of the high-profile skid landing gear, and further ensures the personal safety of the helicopter and crew members.

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of a method for detecting the performance reliability of a high-profile skid landing gear is provided for this application;

[0022] Figure 2 A structural schematic diagram of a high-profile skid landing gear performance reliability detection system is provided for this application.

[0023] Description of the accompanying symbols: performance calculation result acquisition module 1, historical information acquisition module 2, correlation analysis module 3, prediction result acquisition module 4, performance reliability detection module 5. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0025] like Figure 1 As shown, the present application provides a method for detecting the performance reliability of a high-profile skid landing gear, which is applied to a high-profile skid landing gear performance reliability detection system, and the method includes:

[0026] Step S100: Obtaining performance calculation results of the high-profile skid landing gear to be tested;

[0027] In one embodiment, step S100 of the present application further includes:

[0028] Step S110: Calculating the stiffness and strength of the high-attitude ski landing gear to be tested based on the landing condition type to obtain stiffness and strength calculation results;

[0029] In one embodiment, step S110 of the present application further includes:

[0030] Step S111: the landing condition types include vertical landing condition, landing condition with forward flight speed, sideways landing condition and single skid horizontal landing condition;

[0031] Step S112: performing stiffness calculations on each component of the high-profile skid landing gear to be tested based on the landing condition type, wherein the components of the high-profile skid landing gear to be tested include a front cross tube, a rear cross tube, a skid tube, a boarding step, and a maintenance step, and obtaining stiffness calculation results;

[0032] Step S113: performing strength calculation on each component of the high-profile skid landing gear to be tested based on the landing condition type to obtain a strength calculation result;

[0033] Step S114: obtaining the stiffness-strength calculation result based on the stiffness calculation result and the strength calculation result.

[0034] Specifically, the method provided in this application is used to test the performance reliability of a high-profile skid landing gear. First, the landing conditions of a helicopter's onboard high-profile skid landing gear are classified to obtain the landing condition type. The landing condition refers to the contact between the onboard high-profile skid landing gear and the ground when the helicopter lands. Due to different landing conditions, the center of gravity of the onboard high-profile skid landing gear is also different, and the stiffness and strength of each component are also different. The landing condition types include helicopter vertical landing conditions, helicopter landing conditions with forward flight speed, helicopter sideways landing conditions, and helicopter single-skid horizontal landing conditions. The components of the high-profile skid landing gear to be tested include five major components: the front cross tube of the landing gear, the rear cross tube of the landing gear, the landing gear slide tube, the boarding pedal, and the maintenance pedal. Vertical loads are applied to each component of the high-profile skid landing gear to be tested, and the stiffness curves of the front and rear cross tubes are calculated. The stiffness calculation results are further calculated. Then, strength calculations are performed on each component of the high-attitude skid landing gear to be tested, based on various landing conditions. Strength calculation results are obtained, including stress values ​​and residual strength coefficients. Rigidity calculation results are further obtained, including both the stiffness calculation results and the strength calculation results. Obtaining these rigidity calculation results provides data support for the subsequent performance calculation results.

[0035] Step S120: performing landing performance calculation on the high-profile skid landing gear to be tested to obtain a landing performance calculation result;

[0036] In one embodiment, step S120 of the present application further includes:

[0037] Step S121: obtaining the ground reaction forces of the front and rear cross tubes of the high-profile skid landing gear to be tested;

[0038] Step S122: Obtaining deformations of the front and rear transverse tubes of the high-profile skid landing gear to be tested;

[0039] Step S123: Calculating a performance relationship curve based on the ground reaction force and the deformation;

[0040] Step S124: Obtain the landing performance calculation result according to the performance relationship curve:

[0041] Step S130: Obtaining the performance calculation result based on the stiffness calculation result and the landing performance calculation result.

[0042] Specifically, a helicopter landing test is conducted on the high-profile skid landing gear to be tested based on different landing conditions. Parameters such as the front cross tube height, rear cross tube height, and helicopter center of gravity coordinates of the high-profile skid landing gear to be tested are first obtained. The distance from the helicopter center of gravity to the front cross tube and its vertical height to the ground are then calculated. The ground reaction forces of the front and rear cross tubes of the high-profile skid landing gear to be tested are then calculated. The deformation of the front and rear cross tubes of the high-profile skid landing gear to be tested is then measured. The work of the front and rear cross tubes is calculated based on the material, structure, and deformation of the front and rear cross tubes of the high-profile skid landing gear to be tested. A relationship curve between the ground reaction force P and the deformation δ of the front and rear cross tubes is calculated, and the area within the relationship curve is further calculated to obtain the absorbed work, thereby obtaining the landing performance calculation results. Finally, the performance calculation results are obtained, which include the stiffness calculation results and the landing performance calculation results. By obtaining the performance calculation results, original data support is provided for the next step of obtaining actual performance reliability prediction results.

[0043] Step S200: obtaining historical performance calculation results and actual performance reliability results of a plurality of high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship;

[0044] Specifically, based on big data technology, a query is performed to obtain historical performance calculation results and actual performance reliability results for multiple high-profile ski landing gear. The actual performance reliability results indicate whether a landing accident occurred during a helicopter flight due to the onboard high-profile ski landing gear. The actual performance reliability results are represented by an actual performance reliability coefficient. The smaller the actual performance reliability coefficient, the lower the number of landing accidents. A value of 0 indicates that no landing accidents have occurred. The historical performance calculation results and the actual performance reliability results have a one-to-one correspondence. By obtaining the historical performance calculation results and the actual performance reliability results, raw data is provided for the next step of correlation analysis.

[0045] Step S300: performing a correlation analysis on the historical performance calculation result and the actual performance reliability result to obtain a correlation analysis result;

[0046] In one embodiment, step S300 of the present application further includes:

[0047] Step S310: performing a correlation evaluation on the historical performance calculation results and the actual performance reliability results to obtain a plurality of correlation evaluation coefficients;

[0048] Step S320: screening the plurality of correlation evaluation coefficients based on the correlation evaluation coefficient threshold, and obtaining a plurality of correlation evaluation results corresponding to the plurality of correlation evaluation coefficients that meet the correlation evaluation coefficient threshold;

[0049] Step S330: performing feature fusion on the multiple correlation evaluation results to obtain the correlation analysis result.

[0050] Specifically, a correlation evaluation is performed on multiple groups of the historical performance calculation results and the actual performance reliability results. The correlation evaluation refers to exploring the relationship between the historical performance calculation results and the multiple actual performance reliability results of the products, and obtaining multiple correlation evaluation coefficients. The correlation evaluation coefficient is used to measure the coefficient index of the relationship between the historical performance calculation results and the multiple actual performance reliability results of the products. The larger the correlation evaluation coefficient is, the closer the relationship between the two is. A correlation evaluation coefficient threshold is set, and the correlation evaluation coefficient threshold can be customized according to the size of the correlation evaluation coefficient. The multiple correlation evaluation coefficients are screened by the correlation evaluation coefficient threshold, and the multiple correlation evaluation results corresponding to the multiple correlation evaluation coefficients greater than the correlation evaluation coefficient threshold are screened out to obtain the multiple correlation evaluation results. The multiple correlation evaluation results are then subjected to feature fusion. The feature fusion refers to collecting the most different feature information in the correlation evaluation results to generate new fusion features to obtain the correlation analysis results. By performing feature fusion on multiple correlation evaluation results, the most distinctive feature information can be obtained from the multiple correlation evaluation results, and redundant information generated by the correlation between different feature sets can be eliminated, thereby improving the efficiency of obtaining correlation analysis results.

[0051] Step S400: obtaining an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result;

[0052] In one embodiment, step S400 of the present application further includes:

[0053] Step S410: extracting features from the correlation analysis results to obtain correlation feature data;

[0054] Step S420: matching the performance calculation results based on the correlation feature data to obtain a performance matching calculation result;

[0055] Step S430: generating the actual performance reliability prediction result according to the performance matching calculation result.

[0056] Specifically, the principal component analysis algorithm is used to extract features from the correlation analysis results. The principal component analysis refers to reducing the dimension of the correlation analysis results, eliminating redundant data while ensuring the amount of information, and obtaining the correlation feature data. Then, the correlation features in the performance calculation results are matched according to the correlation feature data to obtain the performance matching calculation results. Finally, the actual performance reliability prediction results are generated based on the performance matching calculation results. The actual performance reliability prediction results refer to the probability of a future landing accident of the high-profile ski landing gear to be tested, which is obtained based on the performance calculation results. By obtaining the actual performance reliability prediction results, support is provided for the next step of the performance reliability test of the high-profile ski landing gear to be tested, thereby further improving the accuracy of the performance reliability test of the high-profile ski landing gear.

[0057] Step S500: constructing a reliability detection knowledge base, and detecting the performance reliability of the high-profile skid landing gear to be detected based on the reliability detection index, the actual performance reliability prediction result and the reliability detection knowledge base.

[0058] In one embodiment, step S500 of the present application further includes:

[0059] Step S510: performing product type analysis on the high-profile skid landing gear to be inspected to obtain a product type analysis result;

[0060] Step S520: obtaining a first performance reliability testing solution based on the product type analysis result and the reliability testing knowledge base;

[0061] Step S530: The performance reliability of the high-profile skid landing gear to be tested is tested item by item according to the first performance reliability testing scheme, the reliability testing index, and the actual performance reliability prediction result.

[0062] Specifically, a reliability testing knowledge base is constructed based on big data technology. The reliability testing knowledge base includes a series of performance testing-related knowledge, including test items, test procedures, test specifications, and precautions for various types of high-profile skid landing gear performance reliability tests. First, a product type analysis result of the high-profile skid landing gear to be tested is obtained based on the production parameters and instructions of the high-profile skid landing gear to be tested. The product type analysis result includes information such as the production material type, structure type, specifications, and applicable scenarios of the high-profile skid landing gear to be tested. Then, based on the product type analysis result, a test solution is matched within the reliability testing knowledge base to obtain a first performance reliability test solution. The first performance reliability test solution is a performance test solution suitable for the high-profile skid landing gear to be tested, including test items, test procedures, test specifications, and precautions. Finally, the performance reliability of the high-profile skid landing gear to be tested is tested item by item based on the first performance reliability test solution. The reliability test indicators and the actual performance reliability prediction results are used to judge and adjust the performance reliability test results of the high-profile skid landing gear to be tested, thereby obtaining a performance reliability test result. This solves the technical problem of low accuracy in reliability testing of high-profile skid landing gear performance. It improves the accuracy of reliability testing of high-profile skid landing gear performance, ensuring the stability of high-profile skid landing gear performance, thereby further ensuring the personal safety of the helicopter and crew.

[0063] In one embodiment, Figure 2 The present invention provides a high-profile skid landing gear performance reliability detection system, comprising: a performance calculation result acquisition module 1, a historical information acquisition module 2, a correlation analysis module 3, a prediction result acquisition module 4, and a performance reliability detection module 5, wherein:

[0064] A performance calculation result obtaining module 1 is used to obtain a performance calculation result of the high-profile skid landing gear to be tested;

[0065] A historical information acquisition module 2 is configured to obtain historical performance calculation results and actual performance reliability results of a plurality of high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship;

[0066] A correlation analysis module 3 is configured to perform a correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain a correlation analysis result;

[0067] A prediction result obtaining module 4, wherein the prediction result obtaining module 4 is used to obtain an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result;

[0068] The performance reliability detection module 5 is used to build a reliability detection knowledge base, and detect the performance reliability of the high-profile ski landing gear to be detected based on the reliability detection index, the actual performance reliability prediction result and the reliability detection knowledge base.

[0069] In one embodiment, the system further comprises:

[0070] a stiffness and strength calculation result obtaining module, the stiffness and strength calculation result obtaining module being used to calculate the stiffness and strength of the high-attitude skid landing gear to be tested based on the landing condition type, and obtain stiffness and strength calculation results;

[0071] a landing performance calculation module, configured to perform landing performance calculation on the high-profile skid landing gear to be tested to obtain a landing performance calculation result;

[0072] A performance calculation result obtaining module is used to obtain the performance calculation result based on the stiffness calculation result and the landing performance calculation result.

[0073] In one embodiment, the system further comprises:

[0074] A landing condition type module, wherein the landing condition type module refers to a landing condition type including a vertical landing condition, a landing condition with forward flight speed, a sideways landing condition, and a single-skid horizontal landing condition;

[0075] a stiffness calculation module, configured to calculate stiffness of each component of the high-profile skid landing gear to be tested based on the landing condition type, wherein the components of the high-profile skid landing gear to be tested include a front cross tube, a rear cross tube, a slide tube, a boarding step, and a maintenance step, and obtain stiffness calculation results;

[0076] a strength calculation module, configured to perform strength calculations on each component of the high-attitude skid landing gear to be tested based on the landing condition type to obtain a strength calculation result;

[0077] A stiffness and strength calculation result obtaining module is used to obtain the stiffness and strength calculation result based on the stiffness calculation result and the strength calculation result.

[0078] In one embodiment, the system further comprises:

[0079] a ground reaction force acquisition module, the ground reaction force acquisition module being used to obtain the ground reaction forces of the front and rear cross tubes of the high-profile skid landing gear to be tested;

[0080] A deformation acquisition module, the deformation acquisition module is used to obtain the deformation of the front and rear cross tubes of the high-profile skid landing gear to be tested;

[0081] a performance relationship curve obtaining module, the performance relationship curve obtaining module being configured to calculate a performance relationship curve based on the ground reaction force and the deformation;

[0082] A landing performance calculation result obtaining module is used to obtain the landing performance calculation result according to the performance relationship curve.

[0083] In one embodiment, the system further comprises:

[0084] A correlation evaluation module, configured to perform a correlation evaluation on the historical performance calculation results and the actual performance reliability results to obtain a plurality of correlation evaluation coefficients;

[0085] A correlation evaluation coefficient screening module, wherein the correlation evaluation coefficient screening module is used to screen the multiple correlation evaluation coefficients based on a correlation evaluation coefficient threshold value, and obtain multiple correlation evaluation results corresponding to the multiple correlation evaluation coefficients that meet the correlation evaluation coefficient threshold value;

[0086] A feature fusion module is used to perform feature fusion on the multiple correlation evaluation results to obtain the correlation analysis result.

[0087] In one embodiment, the system further comprises:

[0088] A feature extraction module, configured to extract features from the correlation analysis results to obtain correlation feature data;

[0089] a performance calculation result matching module, configured to match the performance calculation results based on the correlation feature data to obtain a performance matching calculation result;

[0090] An actual performance reliability prediction result generation module is used to generate the actual performance reliability prediction result according to the performance matching calculation result.

[0091] In one embodiment, the system further comprises:

[0092] A product type analysis module, the product type analysis module is used to perform product type analysis on the high-profile skid landing gear to be tested and obtain a product type analysis result;

[0093] a first performance reliability testing solution obtaining module, the first performance reliability testing solution obtaining module being configured to obtain a first performance reliability testing solution based on the product type analysis result and the reliability testing knowledge base;

[0094] A performance reliability detection module is used to detect the performance reliability of the high-profile ski landing gear to be detected item by item according to the first performance reliability detection scheme, the reliability detection index, and the actual performance reliability prediction result.

[0095] In summary, the present application provides a method and system for detecting the performance reliability of a high-profile skid landing gear, which has the following technical effects:

[0096] 1. The performance reliability of the high-profile skid landing gear under test is tested based on reliability testing indicators, actual performance reliability prediction results, and a reliability testing knowledge base. This solves the technical issue of low accuracy in performance reliability testing of high-profile skid landing gear. This improves the accuracy of performance reliability testing of high-profile skid landing gear, ensuring stable performance and further protecting the safety of the helicopter and crew.

[0097] 2. By performing feature fusion on multiple correlation evaluation results, the most distinctive feature information can be obtained from the multiple correlation evaluation results, eliminating redundant information generated by the correlation between different feature sets, thereby improving the efficiency of obtaining correlation analysis results.

[0098] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for detecting the performance reliability of a high-profile skid landing gear, characterized in that: The method is applied to a high-profile skid landing gear performance reliability detection system, and the method comprises: Obtain the performance calculation results of the high-profile skid landing gear to be tested; Obtaining historical performance calculation results and actual performance reliability results of a plurality of high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship; Performing a correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain a correlation analysis result; Obtaining an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result; A reliability detection knowledge base is constructed, and the performance reliability of the high-profile skid landing gear to be detected is detected based on the reliability detection index, the actual performance reliability prediction result and the reliability detection knowledge base.

2. The method according to claim 1, wherein The obtaining of the performance calculation result of the high-profile skid landing gear to be tested further includes: Calculating the stiffness and strength of the high-attitude skid landing gear to be tested based on the landing condition type to obtain stiffness and strength calculation results; Performing landing performance calculation on the high-profile skid landing gear to be tested to obtain a landing performance calculation result; The performance calculation result is obtained based on the stiffness calculation result and the landing performance calculation result.

3. The method according to claim 2, wherein The step of calculating the stiffness and strength of the high-profile skid landing gear to be tested based on the landing condition type to obtain stiffness and strength calculation results further includes: The landing condition types include vertical landing condition, landing condition with forward flight speed, sideways landing condition and single skid horizontal landing condition; performing stiffness calculations on each component of the high-profile skid landing gear to be tested based on the landing condition type, wherein the components of the high-profile skid landing gear to be tested include a front cross tube, a rear cross tube, a slide tube, a boarding step, and a maintenance step, and obtaining stiffness calculation results; Performing strength calculations on each component of the high-profile skid landing gear to be tested based on the landing condition type to obtain strength calculation results; The stiffness-strength calculation result is obtained based on the stiffness calculation result and the strength calculation result.

4. The method according to claim 2, wherein The performing landing performance calculation on the high-profile skid landing gear to be tested to obtain a landing performance calculation result further includes: Obtaining the ground reaction forces of the front and rear cross tubes of the high-profile skid landing gear to be tested; Obtaining deformation of the front and rear cross tubes of the high-profile skid landing gear to be tested; Calculating a performance relationship curve based on the ground reaction force and the deformation; The landing performance calculation result is obtained according to the performance relationship curve.

5. The method according to claim 1, wherein The performing correlation analysis on the historical performance calculation result and the actual performance reliability result to obtain the correlation analysis result further includes: Performing a correlation evaluation on the historical performance calculation results and the actual performance reliability results to obtain a plurality of correlation evaluation coefficients; Based on a correlation evaluation coefficient threshold, screening the plurality of correlation evaluation coefficients to obtain a plurality of correlation evaluation results corresponding to the plurality of correlation evaluation coefficients that meet the correlation evaluation coefficient threshold; Feature fusion is performed on the multiple correlation evaluation results to obtain the correlation analysis result.

6. The method according to claim 1, wherein The obtaining of an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result further includes: Performing feature extraction on the correlation analysis result to obtain correlation feature data; Matching the performance calculation results based on the correlation feature data to obtain a performance matching calculation result; The actual performance reliability prediction result is generated according to the performance matching calculation result.

7. The method according to claim 1, wherein The testing of the performance reliability of the high-profile skid landing gear to be tested based on the reliability testing index, the actual performance reliability prediction result and the reliability testing knowledge base further includes: Performing a product type analysis on the high-profile skid landing gear to be tested to obtain a product type analysis result; Obtaining a first performance reliability testing solution based on the product type analysis result and the reliability testing knowledge base; According to the first performance reliability testing scheme, the reliability testing index and the actual performance reliability prediction result are used to test the performance reliability of the high-profile skid landing gear to be tested item by item.

8. A high-profile skid landing gear performance reliability detection system, characterized in that: The system comprises: a performance calculation result obtaining module, wherein the performance calculation result obtaining module is used to obtain a performance calculation result of the high-profile skid landing gear to be tested; a historical information acquisition module, the historical information acquisition module being used to obtain historical performance calculation results and actual performance reliability results of a plurality of high-profile skid landing gears, wherein the historical performance calculation results and the actual performance reliability results have a corresponding relationship; A correlation analysis module, configured to perform a correlation analysis on the historical performance calculation results and the actual performance reliability results to obtain a correlation analysis result; A prediction result obtaining module, configured to obtain an actual performance reliability prediction result based on the correlation analysis result and the performance calculation result; A performance reliability detection module is used to build a reliability detection knowledge base, and to detect the performance reliability of the high-profile skid landing gear to be detected based on reliability detection indicators, the actual performance reliability prediction results and the reliability detection knowledge base.

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