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Fuzzy Risk Assessment Method for Airborne Network Security Based on AHP-TOPSIS

Computers, Materials & Continua 2024年第7期80卷 1123-1142页

作者： Kenian Wang YuanHong Chunxiao Li College of Safety Science and Engineering Civil Aviation University of ChinaTianjin300300China Key Laboratory of Airworthiness Certification Technology for Civil Aviation Aircraft Civil Aviation University of ChinaTianjin300300China

With the exponential increase in information security risks,ensuring the safety of aircraft heavily relies on the accurate performance of risk ***,experts possess a limited understanding of fundamental security elements,such as assets,threats,and vulnerabilities,due to the confidentiality of airborne networks,resulting in cognitive ***,the Pythagorean fuzzy Analytic Hierarchy Process(AHP)Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)is proposed to address the expert cognitive uncertainty during information security risk assessment for airborne ***,Pythagorean fuzzy AHP is employed to construct an index system and quantify the pairwise comparison matrix for determining the index weights,which is used to solve the expert cognitive uncertainty in the process of evaluating the index system weight of airborne ***,Pythagorean fuzzy the TOPSIS to an Ideal Solution is utilized to assess the risk prioritization of airborne networks using the Pythagorean fuzzy weighted distance measure,which is used to address the cognitive uncertainty in the evaluation process of various indicators in airborne network threat ***,a comparative analysis was *** proposed method demonstrated the highest Kendall coordination coefficient of *** finding indicates superior consistency and confirms the efficacy of the method in addressing expert cognition during information security risk assessment for airborne networks.

关键词： Airborne networks information security risk assessment cognitive uncertainty Pythagorean fuzzy sets

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Evidence of microstructural evolution linked to non-monotonic distribution of micromechanical properties induced by shot peening

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材料科学技术（英文版） 2025年第4期207卷 238-245页

作者： Guoxin Lu Qiang Wang Bonnie Attard Huhu Su Shijian Zheng Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials Ministry of EducationSchool of Materials Science and EngineeringShandong UniversityJinan250061China Aviation Key Laboratory of Science and Technology on Advanced Corrosion and Protection for Aviation Material AECC Beijing Institute of Aeronautical MaterialsBeijing100095China Department of Metallurgy and Materials Engineering University of MaltaMSD2080Malta Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin300130China

The residual stress field induced by surface strengthening processes such as mechanical shot peening and other forms of plastic deformation does not generally exhibit a simple"monotonic"distribution *** researchers have analyzed this fact from a mechanical perspective based on Hertz ***,the micro/nano-scale microstructural changes corresponding to the distribution of residual stress fields still appear to be *** this study,we focused on a widely used material in aviation manufacturing,namely nickel-based superalloy GH4169,as our experimental *** subjected GH4169 alloy to me-chanical strengthening treatment using a shot peening intensity of 0.25 mmA,followed by quantitative testing of micromechanical performance indicators such as microhardness and residual *** thor-oughly investigate the relationship between micromechanical properties and microstructure changes,we utilized transmission electron microscopy(TEM)to observe and analyze shot-peened materials at differ-ent *** findings revealed that the most severe microstructural distortion induced by mechanical shot peening in GH4169 alloy was likely to occur within a depth range of 25 to 75 *** observation aligns with the actual phenomenon that the maximum microhardness and maximum residual compres-sive stress did not manifest on the outermost surface of the *** presenting a detailed analysis of deformation defects such as dislocations,stacking faults,and twinning in different depths of mechan-ically strengthened layers,our study contributes to a deeper understanding and practical application of post-processing technologies based on plastic deformation.

关键词： Mechanical shot peening Surface strengthening Residual stress Microstructure

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An informer approach to civil aviation hard landing prediction considering learning assurance and explainability

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Aerospace Systems 2025年 1-19页

作者： Dong, Lei Peng, Xinqi Chen, Xi Liu, Jiachen Key Laboratory of Civil Aircraft Airworthiness Technology Civil Aviation University of China Tianjin300300 China Department of Science and Technology Civil Aviation University of China Tianjin300300 China College of Safety Science and Engineering Civil Aviation University of China Tianjin300300 China

Predicting hard landings is crucial for aiding pilots’ decisions and ensuring flight safety. This paper addresses the limitations of current hard landing prediction models, specifically in terms of long-term forecasting accuracy and explainability. To overcome these challenges, it introduces the Informer hard landing prediction model, developed using QAR data, and performs an in-depth explainability analysis of the model’s output. Following the principles of learning assurance, the data processing and model training phases are standardized. This involves the application of forward–backward filtering and Granger causality testing to refine the QAR data, thus creating a dataset that aligns with essential prediction standards. The Informer model addresses the challenges of multivariate time series discontinuities by localizing its network to enhance data adaptability. During model training and testing, hyperparameters are finely tuned to maximize prediction accuracy and generalizability. To improve transparency, the model employs an attention weight matrix and a feature reset-based explainability method. Tests show that models trained on datasets developed through a defined data management process deliver favorable predictive performance. The localized enhanced network improved prediction accuracy by 23.5% and increased its capacity to learn from discontinuous multivariate time series. Compared to the LSTM network, the Informer network achieved an 18.83% improvement in prediction accuracy and demonstrated superior long-time series prediction capabilities. © Shanghai Jiao Tong University 2025.

关键词： Prediction models

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Adaptive Dead Zone Compensation Control Method for Electro-Hydrostatic Actuators Under Low-Speed Conditions

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Chinese Journal of Mechanical Engineering 2024年第6期37卷 199-211页

作者： Haoyi Jiang Zhenfei Ling Fengqi Zhou Maowen Sun Hao Liu Lilin Xu Yeming Yao Xiaoping Ouyang Huayong Yang State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing Engineering Institute of Aircraft SystemNanjing 210000China

This study proposes an accurate dead zone compensation control method for electro-hydrostatic actuators(EHAs)under low-speed ***,the nonlinear dead zone characteristics under low-speed conditions are summarized based on numerous EHA *** adaptive compensation function(ACF)is then constructed for the dead ***,this study proposes an adaptive dead zone compensation control method for EHAs by integrating the ACF with a virtual decomposition controller(VDC)based on the established EHA *** stability of the proposed control method is also ***,the proposed control method is verified using an EHA *** test results show that the dead zone trajectory tracking errors of EHAs are significantly reduced when combined with the ***,since most EHAs are controlled by adjusting the motor speed,the method presented in this study is simpler and easier to use than methods that employ flow compensation.

关键词： Electro-hydrostatic actuator Dead zone Compensation Control Low-speed

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Activating lithium storage in 2D CaSi_(2) anode via enhancing pseudocapacitive properties with oxygen modification engineering

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Nano Research 2025年第4期18卷 199-206页

作者： Yongzheng Zhang Lu Sun Kailin Yang Youwang Ye Liang Zhan Qi Wei Jianan Gu Institute of Energy Power Innovation North China Electric Power UniversityBeijing 100096China State Key Laboratory of Chemical Engineering East China University of Science and TechnologyShanghai 200237China State Key Laboratory of Mesoscience and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Aviation Key Laboratory of Science and Technology on Advanced Surface Engineering AVIC Manufacturing Technology InstituteBeijing 100024China

Silicon(Si)has emerged as a promising anode material for lithium-ion batteries(LIBs)due to its extremely high theoretical capacity of 4200 mAh·g^(-1).However,its practical application is limited by several critical challenges,including severe volume expansion and poor electrical ***,we employ a two-dimensional(2D)oxygen modification engineering approach to fabricate 2D oxygen-functionalized CaSi_(2)(CaSi_(2)O_(x))*** the preparation of 2D CaSi_(2) layers,O atoms are gradually incorporated onto their *** resulting 2D CaSi_(2)O_(x) layers have a thickness of 3-5 nm,closely matching the theoretical thickness of 6-10 *** used as lithium anodes,the 2D CaSi_(2)O_(x) layers exhibit exceptional electrochemical performance,maintaining stability over 3000 cycles at an ultrahigh current density of 30 A·g^(-1).By tailoring the surface properties,their pseudocapacitive charge storage mechanism is significantly enhanced,effectively overcoming the intrinsic limitations of traditional Si *** study highlights the promise of 2D surface engineering in the development of advanced materials for next-generation LIBs.

关键词： two-dimensional(2D)CaSi_(2)O_(x) Si anode volume change pseudocapacitive surface modification lithium storage

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Precipitating thermally reinforcement phase in aluminum alloys for enhanced strength at 400℃

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Journal of Materials science & technology 2024年第5期172卷 71-82页

作者： Xiang Su Yuan Lei Yang Chen Hongjie Qu Zhixiang Qi Gong Zheng Xu Liu Henggao Xiang Guang Chen National Key Laboratory of Advanced Casting Technologies MIIT Key Laboratory of Advanced Metallic and Intermetallic Materials TechnologyEngineering Research Center of Materials Behavior and DesignMinistry of EducationNanjing University of Science and TechnologyNanjing 210094China School of Aviation and Mechanical Engineering Changzhou Institute of TechnologyChangzhou 213032China

Heat-resistant aluminum alloys are widely used in aerospace and automotive fields for manufacturing hot components due to their advantages in lightweight design and energy ***,the high-temperature strength of existing cast aluminum alloys is always limited to about 100 MPa at 350℃due to coarsening and transformation of strengthening ***,we reveal that the yield strength and ultimate tensile strength of the T6 state Al-8.4Cu-2.3Ce-1.0Mn-0.5Ni-0.2Zr alloy at 400◦C increase by 34%and 44%after re-aging at 300℃for 100 h,and its thermal strength exhibits distinguished ad-vantage over traditional heat-resistant aluminum *** enhanced elevated-temperature strength is attributed to the reprecipitation of the Ni-bearing T-Al_(20)Cu_(2)Mn_(3)phase,whose number density increases over one *** significant segregation of Ni,Ce,and Zr elements at the interfaces helps improve the thermal stability of the T *** thermostable T phase effectively strengthens the matrix by in-hibiting dislocation ***,a highly interconnected 3D intermetallic network along the grain boundaries can still remain after long-term re-aging at 300℃,which is conducive to imposing a drag on the grain boundaries at high *** finding offers a viable route for enhancing the elevated-temperature strength of heat-resistant aluminum alloys,which could provide expanded opportunities for higher-temperature applications.

关键词： Aluminum alloys Precipitation Thermally reinforcement phase Re-aging treatment High-temperature strength

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Risk identification and safety assessment of human-computer interaction in integrated avionics based on STAMP

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Journal of Systems Engineering and Electronics 2024年第3期35卷 689-706页

作者： ZHAO Changxiao LI Hao ZHANG Wei DAI Jun DONG Lei School of Safety Science and Engineering Civil Aviation University of ChinaTianjin 300300China Shenzhen Dajiang Innovation Technology Co. Ltd.Shenzhen 518057China Key Laboratory of Civil Aircraft Airworthiness Technology Civil Aviation Administration of ChinaTianjin 300300China

To solve the problem of risk identification and quantitative assessment for human-computer interaction(HCI)in complex avionics systems,an HCI safety analysis framework based on system-theoretical process analysis(STPA)and cognitive reliability and error analysis method(CREAM)is *** can identify unsafe control actions and find the causal path during the interaction of avionics systems and pilot with the help of formal verification tools *** common performance conditions(CPC)of avionics systems in the aviation environment is established and a quantitative analysis of human failure is carried *** the head-up display(HUD)system interaction process as an example,a case analysis is carried out,the layered safety control structure and formal model of the HUD interaction process are *** the interactive behavior“Pilots approaching with HUD”,four unsafe control actions and35 causal scenarios are identified and the impact of common performance conditions at different levels on the pilot decision model are *** results show that HUD's HCI level gradually improves as the scores of CPC increase,and the quality of crew member cooperation and time sufficiency of the task is the key to its *** case analysis,it is shown that STPACREAM can quantitatively assess the hazards in HCI and identify the key factors that impact safety.

关键词： avionics human-computer interaction(HCI) safety assessment system-theoretic accident model and process human reliability analysis

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Early fire detection technology based on improved transformers in aircraft cargo compartments

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Journal of Safety science and Resilience 2024年第2期5卷 194-203页

作者： Hongzhou Ai Dong Han Xinzhi Wang Quanyi Liu Yue Wang Mengyue Li Pei Zhu College of Civil Aviation Safety Engineering Civil Aviation Flight University of ChinaGuanghan618307China CivilAircraf Fire Science and Safety Enginring Key Laboratory of Sichuan CivilAviation Flight University of ChinaGuanghan 618307China School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Key Laboratory of Civil Aviation Emergency Science&Technology Nanjing University of Aeronautics and AstronauticsNanjing 210000China

The implementation of early and accurate detection of aircraft cargo compartment fire is of great significance to ensure flight *** current airborne fire detection technology mostly relies on single-parameter smoke detection using infrared *** often results in a high false alarm rate in complex air transportation *** traditional deep learning model struggles to effectively address the issue of long-term dependency in multivariate fire *** paper proposes a multi-technology collaborative fire detection method based on an improved transformers ***-wavelength optical sensors,flue gas analyzers,and other equipment are used to carry out multi-technology collaborative detection methods and characterize various feature dimensions of fire to improve detection *** improved Transformer model which integrates the self-attention mechanism and position encoding mechanism is applied to the problem of long-time series modeling of fire information from a global perspective,which effectively solves the problem of gradient disappearance and gradient explosion in traditional RNN(recurrent neural network)and CNN(convolutional neural network).Two different multi-head self-attention mechanisms are used to classify and model multivariate fire information,respectively,which solves the problem of confusing time series modeling and classification modeling in dealing with multivariate classification tasks by a single attention ***,the output results of the two models are fused through the gate *** research results show that,compared with the traditional single-feature detection technology,the multi-technology collaborative fire detection method can better capture fire *** with the traditional deep learning model,the multivariate fire pre-diction model constructed by the improved Transformer can better detect fires,and the accuracy rate is 0.995.

关键词： Deep learning Aircraft cargo compartment Attentionmechanism Firedetection Multi-sourcedata fusion

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Design and characterization of a novel Cu_(2.3)Al_(1.3)Ni_(1.7)SnCr_(0.3) multi-principal element alloy coating on magnesium alloy by laser cladding

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Journal of Materials science & technology 2023年第21期152卷 220-236页

作者： Lipeng Jiang Xiufang Cui Guo Jin Zhimin Tian Xin Wen Haoliang Tian Erbao Liu Institute of Surface/Interface Science and Technology Key Laboratory of Superlight Material and Surface Technology of Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China Aviation Key Laboratory of Science and Technology on Advanced Corrosion and Protection for Aviation Material Beijing Beijing Institute of Aeronautical MaterialsBeijing 100095China Institute of Defense Engineering AMSPLABeijing 100850China

The evaporation and dilution of substrate seriously limit the performance of laser cladding coatings on magnesium *** order to overcome the above shortcomings,a multi-step ultrasonic assisted laser remelting technology was proposed to improve the performance of the *** this work,a novel Cu_(2.3)Al_(1.3)Ni_(1.7)SnCr_(0.3) multi-principal element alloy coating(MPEAC)was prepared on the surface of mag-nesium *** techniques such as transmission electron microscopy(TEM),electron back scatter diffraction(EBSD)and scanning electron microscopy(SEM)were employed to characterize the microstructure and phase composition of the *** the phase structure and morphology at the interface between the coating and the substrate were also studied via focus ion beam(FIB)and TEM *** addition,the corrosion and wear resistance ability of the coatings were monitored by potentiodynamic polarization(PDP),and electrochemical impedance spectroscopy(EIS),hardness and friction *** results show that Cu_(2.3)Al_(1.3)Ni_(1.7)SnCr_(0.3) MPEAC with ultrasonic assisted is composed of FCC phase and eutectic phases(Cu_(10)Sn_(3) and Cu_(2)Ni_(3)Sn_(3)).Due to the forced convection generated by ultrasonic waves,some Cu and Ni phases are precipitated around Cu_(2)Ni_(3)Sn_(3) phases,which is beneficial to enhance the corrosion *** of the grain refinement effect caused by ultrasonic,the wear resistance of the coating is also ***,ultrasonic vibration can effectively weaken and eliminate the texture density of the Cu_(2.3)Al_(1.3)Ni_(1.7)SnCr_(0.3) MPEAC fabricated by laser cladding.

关键词： Magnesium alloy Multi-principal element alloy coating Ultrasonic assisted laser cladding Corrosion resistance Wear resistance

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Performance and electromagnetic mechanism of radar-and infraredcompatible stealth materials based on photonic crystals

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 710-717页

作者： Yanming Liu Xuan Yang Lixin Xuan Weiwei Men Xiao Wu Yuping Duan AVIC Research Institute for Special Structures of Aeronautical Composite Ji’nan 250023China Aviation Key Lab of Science and Technology on High Performance Electromagnetic Windows Ji’nan 250023China Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116085China

Traditional stealth materials do not fulfill the requirements of high absorption for radar waves and low emissivity for infrared ***,they can be detected by various technologies,considerably threatening weapon ***,a stealth material compatible with radar and infrared was designed based on the photonic bandgap characteristics of photonic *** radar stealth lay-er(bottom layer)is a composite of carbonyl iron/silicon dioxide/epoxy resin,and the infrared stealth layer(top layer)is a 1D photonic crystal with alternately and periodically stacked germanium and silicon *** composition optimization and structural adjust-ment,the effective absorption bandwidth of the compatible stealth material with a reflection loss of less than-10 dB has reached 4.95 *** average infrared emissivity of the proposed design is 0.1063,indicating good stealth *** theoretical analysis proves that photonic crystals with this structural design can produce infrared waves within the photonic bandgap,achieving high radar wave transmittance and low infrared *** stealth is achieved without affecting the absorption performance of the radar stealth layer,and the conflict between radar and infrared stealth performance is *** work aims to promote the application of photonic crystals in compatible stealth materials and the development of stealth technology and to provide a design and theoretical found-ation for related experiments and research.

关键词： microwave absorption infrared stealth photonic crystal compatible stealth

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