基于数字孪生的机载光电探测系统性能退化建模研究

Tao Ren; Jinsong Yu; Diyin Tang; Yiyu Shi

doi:10.12132/ISSN.1673-5048.2018.0049

基于数字孪生的机载光电探测系统性能退化建模研究

Translated title of the contribution: Performance Degradation Prediction Theory and Method for Airborne Electro-Optical Detection System Based on Digital Twin Model

Tao Ren^*
, Jinsong Yu
, Diyin Tang
, Yiyu Shi

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

China Airborne Missile Academy
Beihang University

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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 subsystem 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.

Translated title of the contribution	Performance Degradation Prediction Theory and Method for Airborne Electro-Optical Detection System Based on Digital Twin Model
Original language	Chinese (Traditional)
Pages (from-to)	75-80
Number of pages	6
Journal	Aero Weaponry
Volume	26
Issue number	2
DOIs	https://doi.org/10.12132/ISSN.1673-5048.2018.0049
State	Published - 30 Apr 2019

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10.12132/ISSN.1673-5048.2018.0049

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title = "基于数字孪生的机载光电探测系统性能退化建模研究",

abstract = "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 subsystem 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.",

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author = "Tao Ren and Jinsong Yu and Diyin Tang and Yiyu Shi",

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T1 - 基于数字孪生的机载光电探测系统性能退化建模研究

AU - Ren, Tao

AU - Yu, Jinsong

AU - Tang, Diyin

AU - Shi, Yiyu

PY - 2019/4/30

Y1 - 2019/4/30

N2 - 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 subsystem 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.

AB - 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 subsystem 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.

KW - DBN

KW - degradation modeling

KW - digital twin model

KW - electro-optical detection system

UR - https://www.scopus.com/pages/publications/85129485737

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ER -

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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