Electronics and Electrical Engineering and Control

Analysis and evaluation of fault propagation behavior of aircraft all-electric brake system under DIMA architecture

  • YAN Fang ,
  • XIANG Chenyang ,
  • DONG Lei ,
  • WANG Peng
Expand
  • 1. Key Laboratory of Civil Aircraft Airworthiness Technology, Civil Aviation University of China, Tianjin 300300, China;
    2. Civil Aircraft Airworthiness and Repair Key Laboratory of Tianjin, Civil Aviation University of China, Tianjin 300300, China;
    3. School of Airworthiness, Civil Aviation University of China, Tianjin 300300, China

Received date: 2020-08-27

  Revised date: 2020-10-10

  Online published: 2020-10-23

Supported by

Joint Found of the National Natural Science Foundation of China and the Civil Aviation Administration of China(U1933106);Aeronautical Science Foundation of China(20185167017);Fundamental Research Funds for the Central Universities(3122019167)

Abstract

Against the background of the open architecture of Distributed Integrated Modular Avionics platform, aircraft avionics and electromechanical system functions gradually permeate and integrate with each other. The DIMA architecture oriented all-electric brake system is the mainstream design trend of the future aircraft brake system; however, the failure propagation behavior analysis and evaluation method for the all-electric brake system under the DIMA architecture has not been formed yet. Aiming at this problem, we analyze the layered architecture of the DIMA architecture oriented all-electric brake system, combining the characteristics of the DIMA architecture and relevant standards of all-electric brakes, and on this basis, establish the task-function-resource hierarchical model of the all-electric brake system. Secondly, considering the resource sharing characteristic of the DIMA platform, we conduct the system coupling relation analysis, calculate the indirect coupling matrix and routing matrix by introducing the Floyd algorithm, establish the system structure of the fault propagation model by constructing the failure severity associated coupling matrix quantization system, and build the fault transmission intensity model of the all-electric brake system under the DIMA framework considering fault path transmission probability and the edge betweenness to identify the critical path of system fault propagation and complete the analysis and evaluation of the failure propagation behavior. Finally, an example is provided to verify the correctness and rationality of the proposed method.

Cite this article

YAN Fang , XIANG Chenyang , DONG Lei , WANG Peng . Analysis and evaluation of fault propagation behavior of aircraft all-electric brake system under DIMA architecture[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021 , 42(9) : 324674 -324674 . DOI: 10.7527/S1000-6893.2020.24674

References

[1] ZHOU X, XIONG H G, HE F. Hybrid partition-and network-level scheduling design for distributed integrated modular avionics systems[J]. Chinese Journal of Aeronautics, 2020, 33(1):308-323.
[2] ZHANG W W, LIU J Q, CHENG L L, et al. A survey of optimal hardware and software mapping for distributed integrated modular avionics systems[J]. Applied Sciences, 2020, 10(8):2675.
[3] 王国庆, 谷青范, 王淼, 等. 新一代综合化航空电子系统构架技术研究[J]. 航空学报, 2014, 35(6):1473-1486. WANG G Q, GU Q F, WANG M, et al.Research on the architecture technology for new generation integrated avionics system[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(6):1473-1486(in Chinese).
[4] CHU J, ZHAO T, JIAO J, et al. Optimal design of con-figuration scheme for integrated modular avionics systems with functional redundancy requiremen-ts[J/OL]. IEEE Systems Journal, 2020:1-12[2020-08-24]. https://ieeexplore.ieee.org/abstract/document/9099838/doi/10.1109/JSYST.2020.2993636.
[5] FUCHSEN R. IMA NextGen:A new technology for the Scarlett program[J]. IEEE Aerospace and Electronic Systems Magazine, 2010, 25(10):10-16.
[6] 阎芳, 邢培培, 赵长啸, 等. 基于联合k/n(G)模型的DIMA系统可靠性建模与分析[J]. 航空学报, 2018, 39(6):321971. YAN F, XING P P, ZHAO C X, et al.Reliability modeling and analysis of DIMA system based on joint k/n(G) model[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(6):321971(in Chinese).
[7] SCHMIDT R. Braking systems with new ima gen-eration (2011-01-2662) in advances in aircraft brakes and tires[M]. Warrendale:SAE International, 2015:47-52.
[8] 何永乐, 刘彦斌, 赵亚军, 等. 基于新一代模块化航电系统的飞机刹车控制架构研究[J]. 飞机设计, 2015, 35(5):41-45. HE Y L, LIU Y B, ZHAO Y J, et al.Research on aircraft braking architectures with new IMA generation[J]. Aircraft Design, 2015, 35(5):41-45(in Chinese).
[9] BENNETT J W, MECROW B C, ATKINSON D J, et al. Safety-criticaldesign of electromechanical actuation systems in commercial aircraft[J]. IET Electric Power Applications, 2011, 5(1):37.
[10] QIAO G, LIU G, SHI Z H, et al. A review of electromechanical actuators for more/all electric aircraft systems[J]. Proceedings of the Institution of Mechanical Engineers, Part C:Journal of Mechanical Engineering Science, 2018, 232(22):4128-4151.
[11] IORDANIDIS G, REES J. Aircraftelectric braking system,USA:US10259570[P]. 2019-04-16.
[12] SAE. Information on electric brakes:SAE AIR5937[S]. USA:SAE International, 2019.
[13] 相里康, 马瑞卿. 飞机全电刹车机电作动系统上电自检测[J]. 航空学报, 2016, 37(12):3832-3842. XIANGLI K, MA R Q. Power-on self-test of electro-mechanical actuation system for aircraft electric braking[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(12):3832-3842(in Chinese).
[14] 徐彪, 尹项根, 汪旸, 等. 基于模糊时间Petri网的电网故障诊断方法[J]. 电力系统自动化, 2018, 42(2):70-76. XU B, YIN X G, WANG Y, et al.Fault diagnosis method of power system based on fuzzy time Petri net[J]. Automation of Electric Power Systems, 2018, 42(2):70-76(in Chinese).
[15] ZHAO C X, WANG P, YAN F. Reliability analysis of the reconfigurable integrated modular avionics using the continuous-time Markov chains[J]. International Journal of Aerospace Engineering, 2018(1):1-8.
[16] HE L, ZHANG X D. Fuzzy reliability analysis using cellular automata for network systems[J]. Information Sciences, 2016, 348:322-336.
[17] MAIER B F, HUEPE C, BROCKMANN D. Modularhierarchical and power-law small-world networks bear structural optima for minimal first passage times and cover time[J]. Journal of Complex Networks, 2019, 7(6):865-895.
[18] MAZA S. Diagnosismodelling for dependability assessment of fault-tolerant systems based on stochastic activity networks[J]. Quality and Reliability Engineering International, 2015, 31(6):963-976.
[19] LI W J, HE M, SUN Y B, et al. A novel layered fuzzy Petri nets modelling and reasoning method for process equipment failure risk assessment[J]. Journal of Loss Prevention in the Process Industries, 2019, 62:103953.
[20] ZHANG K, LIU J C, REN J, et al. Independent temporal integration of ARINC653 conformed architecture-A search based solution[J]. IEEE Access, 2020, 8:38333-38346.
[21] HOFFMANN H P. Harmony/SE:A SysML based sys-tems engineering process[J]. Innovation, 2008:1-25.
[22] SAE. Information on Brake-By-Wire (BBW) brake control systems:SAE AIR5372A[S]. USA:SAE Inter-national. 2019.
[23] SAE. Braking system dynamics:SAE AIR1064D[S]. USA:SAE International. 2016.
[24] 石为人, 王楷. 基于Floyd算法的移动机器人最短路径规划研究[J]. 仪器仪表学报, 2009, 30(10):2088-2092. SHI W R, WANG K. Floyd algorithm for the shortest path planning of mobile robot[J]. Chinese Journal of Scientific Instrument, 2009, 30(10):2088-2092(in Chinese).
[25] JIANG Z Y, ZHAO T D, WANG S H, et al. A novel risk assessment and analysis method for correlation in a complex system based on multi-dimensional theory[J]. Applied Sciences, 2020, 10(9):3007.
[26] CHEN L, JIAO J, WEI Q X, et al. An improved formal failure analysis approach for safety-critical system based on MBSA[J]. Engineering Failure Analysis, 2017, 82:713-725.
[27] 韩丽, 刘彬, 邓玉静, 等. 加权无标度网络的级联失效模型[J]. 软件学报, 2017, 28(10):2769-2781. HAN L, LIU B, DENG Y J, et al.Cascading failure model of weighted scale-free networks[J]. Journal of Software, 2017, 28(10):2769-2781(in Chinese).
[28] HASUIKE T, KATAGIRI H, TSUBAKI H. Aninteractive algorithm to construct an appropriate nonlinear membership function using information theory and statistical method[J]. Procedia Computer Science, 2015, 61:32-37.
[29] HASUIKE T, KATAGIRI H, TSUBAKI H. A const-ructing algorithm for appropriate piecewise linear membership function based on statistics and infor-mation theory[J]. Procedia Computer Science, 2015, 60:994-1003.
[30] BIRNBAUM Z W. On theimportance of different components in a multicomponent system[R]. Defense Technical Information Center, 1968.
[31] LAMBERT H E,YADIGAROGLU G. Fault trees for diagnosis of system fault conditions[J]. Nuclear Science and Engineering, 1977, 62(1):20-34.
[32] 宋学锋, 刘耀彬. 城市化与生态环境的耦合度模型及其应用[J]. 科技导报, 2005, 23(5):31-33. SONG X F, LIU Y B. Couplingdegree model of urbanization and ecological environment and its application[J]. Science & Technology Review, 2005, 23(5):31-33(in Chinese).
[33] ZHANG Y Z, MU L M, LIU J L, et al. Application of fault propagation intensity in fault diagnosis of CNC machine tool[J]. Journal of the Chinese Institute of Engineers, 2020, 43(2):153-161.
[34] 汪小帆, 李翔, 陈关荣. 复杂网络理论及其应用[M]. 北京:清华大学出版社, 2006:49-57. WANG X F, LI X, CHEN G R. Complex network theory and its application[M]. Beijing:Tsinghua University Press, 2006:49-57(in Chinese).
[35] TANABE K. Pareto's 80/20 rule and the Gaussian distribution[J]. Physica A:Statistical Mechanics and Its Applications, 2018, 510:635-640.
Outlines

/