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检索条件"机构=Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer"

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Unmanned helicopter engine health management based on improved KPCA-LSTM intelligent algorithm

Unmanned helicopter engine health management based on improv...

引用

Machine Learning and Intelligent Systems Engineering (MLISE), International Conference on

作者： Zhang Tong Jiaming Wang Kangfa Xu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer AVIC Xi'an Aeronautics Computing Technique Research Institute Xi'an China

ISBN: (数字)9798350375077

ISBN: (纸本)9798350375084

In order to solve the problems of difficulty in modeling the operating state of UAV engines, high computational complexity, and poor predictability, this paper improves the traditional data dimensionality reduction and health prediction methods, introduces a neural network model to solve the key parameters, and forms a Improve the KPCA-LSTM intelligent algorithm to manage the health of unmanned helicopter engines. This algorithm reduces the dimensionality of the engine input parameter data by improving the KPCA algorithm, reducing the input data dimension during subsequent modeling. It uses the LSTM algorithm to learn and reason about the dependence between healthy engine loading and input data, and achieves long-term operation of the UAV engine. Trends and predictions of remaining life. Simulation experiments show that the improved intelligent algorithm can effectively predict the remaining life of the engine.

关键词： Computational modeling Helicopters Neural networks Memory management Predictive models Prediction algorithms Autonomous aerial vehicles

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Design of airborne Intelligent Computing System Oriented to Intelligent Task Processing 26

Design of Airborne Intelligent Computing System Oriented to ...

引用

26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD-Winter 2023

作者： Bai, Linting Wen, Pengcheng Xie, Jianchun Li, Yunxi Lin, Rongchao School of Computer Science Northwestern Polytechnical University Xi'an Aeronautics Computing Technique Research Institute Avic Xi'an China Xi'an Aeronautics Computing Technique Research Institute Avic Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Xi'an China Xi'an Aeronautics Computing Technique Research Institute Avic Aeronautics Data and Sensor Business Unit Avic Xi'an China

ISBN: (纸本)9798350345865

The rapid development of artificial intelligence technology promotes the gradual evolution of the 'three integration' of mechanization, informatization and intelligence. The mass data characteristics of airborne mission informatization put forward higher demands on the storage, transmission and management capabilities of airborne data. The characteristics of high complexity, strong confrontation, strong real-time, and uncertainty of airborne intelligent tasks pose more challenges to the intelligent processing of airborne data. This paper analyzes the data characteristics and mission characteristics in the process of airborne intelligence missions, and proposes an airborne intelligent computing architecture for airborne data processing of intelligent missions. The composition and function of each technical layer are expounded, and several problems of airborne intelligent computing technology are analyzed. Finally, the development trend of airborne intelligent technology development is prospected. © 2023 IEEE.

关键词： Digital storage

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Design and Realization of Intelligent airborne Information Processing Concept Simulation System 24

Design and Realization of Intelligent Airborne Information P...

引用

24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Xie, Jianchun Bai, Linting Luo, Qing Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Avic Xi'an Aeronautics Computing Technique Research Institute Xi'an China College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanning China Shenyang Aircraft Design and Reserch Institute Shenyang China

ISBN: (纸本)9798350319934

Facing the development trend of future distributed cloud operations, intelligent operations, and the technical requirements of multi-machine collaborative operations in the aviation field, this paper further studies the unified data transmission and management of multiple platforms based on the research of the unified cloud intelligent combat system architecture. Distributed data storage and management, multi-platform open information processing resource management and other key technologies, on the basis of the principle prototype designed and implemented by ourselves, a set of conceptual simulation platforms have been constructed for the simulation and technical verification of the entire airborne information processing system. © 2022 IEEE.

关键词： Distributed cloud

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ISAR Imaging of Targets with Complex Motions Based on the Non-uniformed Sampled Integrated Modified Chirp Rate-Quadratic Chirp Rate Distribution

ISAR Imaging of Targets with Complex Motions Based on the No...

引用

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), ACIS International Winter Conference on

作者： Zongyang Sun Linting Bai Kangfa Xu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China

This paper proposes a new ISAR algorithm for obtaining well-focused images of targets with complex motions in low signal-to-noise ratio (SNR) environments. The algorithm models the echo signals of targets with complex motions as cubic phase signals (CPS) after motion compensations and uses the Non-uniformed Sampled Integrated Modified Chirp Rate-Quadratic Chirp Rate Distribution (NIM-CRQCRD) to estimate CPS parameters. The proposed algorithm compensates the echo signals using the parameter estimates and generates ISAR images of targets with complex motions. Simulation results show that the proposed algorithm has superior anti-noise performance.

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An infrared small target detection method based on non-local similarity 12

An infrared small target detection method based on non-local...

引用

12th International Conference on Information technology in Medicine and Education, ITME 2022

作者： Jinfeng, Lyu Xiaohong, Jia Jianwei, Ma Yilin, You China Airborne Missile Academy Luoyang China School of Information Engineering Henan University of Science and Technology Luoyang China Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons Luoyang China Yunnan University School of Information Science and Engineering Kunming China

ISBN: (纸本)9798350310153

The infrared image in the sea background usually contains random noise, sea waves, fish scale light and other clutter. Sea waves and fish scale light interference are similar to small infrared targets, so it is difficult to eliminate such interference and detect small infrared targets quickly and accurately. In this paper, a small target detection method based on non-local similarity is proposed. The interference is eliminated by using the class feature similarity of interference and the overall feature uniqueness of the small target. Firstly, this paper performs filtering to remove random noise, and the suspected small targets can be extracted by executing Top Hat filtering. Secondly, a multi-feature vector is constructed for all suspected targets. Finally, this paper analyzes the characteristics of different interference and executes clustering step by step. The wave edge interference and fish scale light interference can be eliminated in turn. Feature threshold is set based on the interference that has been identified to obtain the true small infrared target according to the uniqueness of the characteristics of the true target. The experimental results show that compared with other small target detection algorithms, the proposed algorithm can detect small infrared targets in complex sea background effectively. © 2022 IEEE.

关键词： Infrared imaging

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Design of airborne Bus Communication Platform based on Isomorphic Dual Redundancy Channels

Design of Airborne Bus Communication Platform based on Isomo...

引用

2023 7th International Conference on Electrical, Mechanical and computer Engineering (ICEMCE)

作者： Xiaohang Wang Kangfa Xu Yaxing Xu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China

In order to solve the problem of low reliability of airborne bus communication platforms under limited volume, weight, power consumption, and computing power in airborne environments, the design scheme of the airborne bus communication platform was completed by demonstrating the software and hardware architecture of isomorphic dual redundancy channels. This design scheme first analyzes the usage scenarios and requirements indicators of the airborne bus communication platform, standardizes the design process based on the analysis indicators, and then designs a hardware architecture based on isomorphic dual redundancy channels according to the requirements and application environment of the design scheme. Finally, it focuses on the data interaction characteristics between the airborne product and the upper computer, Complete the design of dual redundancy data intelligent control software from the perspective of dual channel data flow and channel fault switching. Simulation examples show that this solution effectively solves the problems of high fault reporting rate and excessive resource redundancy in traditional equipment, and significantly improves the reliability of massive data transmission and reception in airborne environments.

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Modeling and Simulation of Infrared Properties of Aircraft Skin at Low Temperature

Modeling and Simulation of Infrared Properties of Aircraft S...

引用

Computing, Communication, Perception and Quantum technology (CCPQT), International Conference on

作者： Peng Xiao Xinchao Wang Hongbing Tai Lijuan Yin Fan Zhang Songqing Zhao School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China China Airborne Missile Academy Luoyang China Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons China Airborne Missile Academy Luoyang China

The infrared radiation characteristics of aircraft skin is an important research content for evaluating and improving the infrared stealth performance of aircraft, and this paper proposes an energy-based emissivity measurement method for the surface skin coating material of aircraft in low temperature environment. The geometric model of a typical aircraft is established by CATIA software, the heat flow of solar radiation is obtained by the inverse Monte Carlo method, and the three-dimensional temperature field of the aircraft as well as the infrared emissivity field in the 3~5μm and 8~14μm bands are simulated by the method of control variables. The relationship between the solar radiation and the infrared radiation characteristics of the aircraft surface as well as the influence of flight altitude on the infrared radiation performance are obtained through simulation and analysis, and the research in this paper provides important technical and theoretical support for the infrared stealth design of aircraft.

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Link-ability: A Prediction Method of Web Service Compatibility based on Markov Process

Link-ability: A Prediction Method of Web Service Compatibili...

引用

2022 International Conference on Networking and Network Applications, NaNA 2022

作者： Ma, Shiyang Li, Yahui Wang, Zhonghua Lu, Di Dong, Xuewen Tong, Wei Yang, Lingxiao School of Computer Science and Technology Xidian University Xi’an China Xi’an Aeronautics Computing Technique Research Institute Avic Xi’an China Aviation Key Laboratory of Science and Technology on Airborne and Missleborne Computer Xi’an China

ISBN: (数字)9781665461313

ISBN: (纸本)9781665461313

Prediction on compatibility of a service is crucial because it not only provides assurance for service requesters to successfully fulfil the workflow, but also relieves the pressure of the service pool from overload. Existing researches on parameter prediction mainly rely on collaborative filtering and matrix factorization, which are easily exposed to data-sparse problem, and they don't have solid support from mathematical proof. In this paper, we are the first to propose a method to predict compatibility with reliable mathematical proof, and its mechanism prevents data-sparse. Firstly we propose an architecture called Topology Retrievable Service Oriented Architecture, which is capable of collecting individual invocation records in a specific period of time and generate the whole topology of the service pool. Secondly, based on the architecture we presented, we give our definitions of Link-ability, propose Link-ability Generation Algorithm and present our solid mathematical strategies in the aspect of Markov Process. Lastly, we perform a series of experiment to strengthen our point, the result shows that our Link-ability not only reveals compatibility, but also potential compatibility of connecting services. © 2022 IEEE.

关键词： Markov processes

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Performance Evaluation of Intelligent Computing Platform for Air-Combat Decision Algorithm

Performance Evaluation of Intelligent Computing Platform for...

引用

IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Kangfa Xu Linting Bai Pengcheng Wen Wensheng Niu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China

At present, some performance evaluation methods of intelligent computing platform oriented to air combat decision algorithm have problems such as complex evaluation index system construction, poor evaluation accuracy, difficult to verify the effectiveness of evaluation conclusions and lack of real-time performance. Based on this, this paper establishes the intelligent computing platform performance evaluation index set according to the intelligent decision class algorithm structure, platform compatibility and platform hardware characteristics. Cloud center of gravity method and consistent weighting method are selected as the evaluation algorithm and weighting algorithm respectively to carry out real-time evaluation and form the initial evaluation conclusion. Besides, the “evaluation confidence” is used to judge the validity of the evaluation conclusion and whether a second evaluation is needed to form the final conclusion and the simulation environment of air combat is used to verify the accuracy of the evaluation results. This method avoids the randomness and uncertainty of the traditional evaluation methods, ensures the real-time and effectiveness of the evaluation results, significantly improves the accuracy, and can truly and effectively reflect the operational performance of the computing platform equipped with the air-combat decision algorithm.

关键词： Performance evaluation Uncertainty Simulation Atmospheric modeling Real-time systems Hardware Indexes

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Design of airborne Intelligent Computing System Oriented to Intelligent Task Processing

Design of Airborne Intelligent Computing System Oriented to ...

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), ACIS International Winter Conference on

作者： Linting Bai Pengcheng Wen Jianchun Xie Yunxi Li Rongchao Lin School of Computer Science Northwestern Polytechnical University Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China Xi'an Aeronautics Computing Technique Research Institute AVIC Aeronautics Data and Sensor Business Unit AVIC Xi'an China

The rapid development of artificial intelligence technology promotes the gradual evolution of the “three integration” of mechanization, informatization and intelligence. The mass data characteristics of airborne mission informatization put forward higher demands on the storage, transmission and management capabilities of airborne data. The characteristics of high complexity, strong confrontation, strong real-time, and uncertainty of airborne intelligent tasks pose more challenges to the intelligent processing of airborne data. This paper analyzes the data characteristics and mission characteristics in the process of airborne intelligence missions, and proposes an airborne intelligent computing architecture for airborne data processing of intelligent missions. The composition and function of each technical layer are expounded, and several problems of airborne intelligent computing technology are analyzed. Finally, the development trend of airborne intelligent technology development is prospected.

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