基于数字孪生的机载光电探测系统性能退化建模研究
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摘要
依据数字孪生模型的思想,提出了一套描述光电探测系统性能退化的模型体系,借助调制传递函数将子系统故障和退化对性能的影响统一映射到能量域,解决系统性能退化多场耦合的问题。在能量域模型基础上,基于动态贝叶斯网络(DBN)对系统性能退化规律建模,描述系统退化的动态过程和量化不确定性因素。仿真结果证明了所提方法的有效性。
A degradation model for electro-optical detection system on the basis of the concept of digital twin is established. Based on this model, the influence of sub-system failure and degradation is firstly uniformly mapped into an energy domain with the help of modulation transfer function(MTF), which is able to solve the problem of multi-field coupling existed in the complex electro-optical detection system. Secondly, the dynamic Bayesian network(DBN) is used to model the common rule of the degradation, which describes the dynamic degradation process and quantifies uncertain factors. The simulation results show the validity of the proposed method.
A degradation model for electro-optical detection system on the basis of the concept of digital twin is established. Based on this model, the influence of sub-system failure and degradation is firstly uniformly mapped into an energy domain with the help of modulation transfer function(MTF), which is able to solve the problem of multi-field coupling existed in the complex electro-optical detection system. Secondly, the dynamic Bayesian network(DBN) is used to model the common rule of the degradation, which describes the dynamic degradation process and quantifies uncertain factors. The simulation results show the validity of the proposed method.
引文
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[5] Tuegel E J,Ingraffea A R,Eason T G,et al.Reengineering Aircraft Structural Life Prediction Using a Digital Twin[J].International Journal of Aerospace Engineering,2011:1-14.
[6] 郁品一,张平鑫,胡磊力,等.机载光电探测系统红外性能测试靶板的研究[J].激光与红外,2012,42(6):651-654.Yu Pinyi,Zhang Pingxin,Hu Leili,et al.Design and Application of Airborne Electro-Optical Detection System Performance Quantificational IR Drone[J].Laser & Infrared,2012,42(6):651-654.(in Chinese)
[7] Kim S,Yang Y,Choi B.Realistic Infrared Sequence Generation by Physics-Based Infrared Target Modeling for Infrared Search and Track[J].Optical Engineering,2010,49(11):614-622.
[8] 吴颖霞,张建奇,杨红坚,等.Johnson准则在红外成像系统外场识别性能评估中的应用[J].光子学报,2011,40(3):438-442.Wu Yingxia,Zhang Jianqi,Yang Hongjian,et al.Application of Johnson Criteria in Evaluating Field Detection and Recognition Probability of IR System [J].Acta Photonica Sinica,2011,40(3):438-442.(in Chinese)
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[10] Zhou Dengji,Zhang Huisheng,Weng Shilie.A Novel Prognostic Model of Performance Degradation Trend for Power Machinery Maintenance[J].Energy,2014,78:740-746.
[11] Eickmeyer J,Li P,Givehchi O,et al.Data Driven Mo-deling for System-Level Condition Monitoring on Wind Power Plants[C]//Proceedings of 26th International Workshop on the Principles of Diagnosis.2015.
[12] Wang Z F,Zarader J L,Argentieri S.A Novel Aircraft Fault Diagnosis and Prognosis System Based on Gaussian Mixture Models[C]//12th International Conference on Control,Automation,Robotics & Vision,Guangzhou,2013:1794-1799.
[13] 刘胜南,陆宁云,程月华,等.基于多退化量的动量轮剩余寿命预测方法[J].南京航空航天大学学报,2015,47(3):360-366.Liu Shengnan,Lu Ningyun,Cheng Yuehua,et al.Remaining Lifetime Prediction for Momentum Wheel Based on Multiple Degradation Parameters[J].Journal of Nanjing University of Aeronautics & Astronautics,2015,47(3):360-366.(in Chinese)
[14] Zhang X,Wilson A.System Reliability and Component Importance under Dependence:A Copula Approach[J].Technometrics,2017,59(2):215-224.
[15] Feng Yuansheng.A Method for Computing Structural System Reliability with High Accuracy[J].Computers & Structures,1989,33(1):1-5.
[16] Fang Hongzheng,Shi Hui,Xiong Yi,et al.The Component-Level and System-Level Satellite Power System Health State Evaluation Method[C]//Prognostics and System Health Management Conference,Zhangjiajie,2014:683-688.