综合模块化航电系统性能退化Lévy模型

doi:10.12305/j.issn.1001-506X.2021.04.33

Abstract

Abstract:

Integrated modular avionics (IMA) is one of the core system in modern airplane, and its performance has a marked impact on the flight safety. This paper focuses on the degradation characteristics of IMA. The IMA operation management mechanism is analyzed firstly. The intermittent fault and the function completion time are selected as IMA health characteristic parameters based on the existed sensors. Secondly, this paper proves that the completion time of avionics functions conforms to Lévy process based on IMA operation management mechanism. An IMA performance degradation Lévy model is proposed. The IMA performance degradation Lévy models under the influence of the single factor and multiple factors are established, respectively. Finally, a hardware simulation platform is built to figure out the parameters of the IMA performance degradation Lévy model. The performance degradation process of IMA is simulated, and the effectiveness of the proposed model is validated.

Key words: integrated modular avionics (IMA), intermittent fault, performance degradation, Lévy model

CLC Number:

TP391.9

Zehai GAO, Cunbao MA, Haotian NIU. Performance degradation Lévy model of integrated modular avionics[J]. Systems Engineering and Electronics, 2021, 43(4): 1144-1152.

Figures/Tables 12

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References 30

1	CHU J Y , ZHAO T D , JIAO J , et al. Optimal design of configuration scheme for Integrated modular avionics systems with functional redundancy requirements[J]. IEEE Systems Journal, 2020, PP (99): 1- 12. doi: 10.1109/JSYST.2020.2993636
2	HAN P J, ZHAI Z J, NIELSEN B, et al.A compositional approach for schedulability analysis of distributed avionics systems[C]//Proc.of the 1st International Workshop on Methods and Tools for Rigorous System Design, 2018: 39-51.
3	ZHOU X, HE F, XIONG H G, et al. Hybrid partition-and network-level scheduling design for distributed integrated modular avionics systems[C]//Proc.of IEEE/AIAA 38th Digital Avionics Systems Conference, 2019: 8-12.
4	ROBATI T, GHERBI A, MULLINS J. A modeling and verification approach to the design of distributed IMA architectures using TTE thernet[C]//Proc.of the 7th International Conference on Ambient Systems, Networks and Technologies, 2016: 229-236.
5	赵明波, 潘龙, 蒋龙威, 等. 一种综合航电仿真系统的模块化设计方法[J]. 系统仿真学报, 2019, 31 (2): 339- 345.
	ZHAO M B , PAN L , JIANG L W , et al. Modular design method of integrated avionics simulation system[J]. Journal of System Simulation, 2019, 31 (2): 339- 345.
6	SAEEDI S , PISHGAR S H , ESLAMI M . Optimum test point selection method for analog fault dictionary techniques[J]. Analog Integrated Circuits and Signal Processing, 2019, 100, 167- 179. doi: 10.1007/s10470-019-01453-7
7	TANG X F , XU A Q , NIU S C . KKCV-GA-based method for optimal analog test point selection[J]. IEEE Trans.on Instrumentation and Measurement, 2017, 66 (1): 24- 32. doi: 10.1109/TIM.2016.2614752
8	GAO H D , CUI L R , DONG Q L . Reliability modeling for a two-phase degradation system with a change point based on a Wiener process[J]. Reliability Engineering & System Safety, 2020, 193, 106601.
9	WANG X J , LIN S , WANG S P , et al. Remaining useful life prediction based on the Wiener process for an aviation axial piston pump[J]. Chinese Journal of Aeronautics, 2016, 29 (3): 779- 788. doi: 10.1016/j.cja.2015.12.020
10	张志华, 翟亚利, 李大伟. 基于冲击理论的性能可靠性评估研究[J]. 系统工程与电子技术, 2014, 36 (10): 2018- 2112. doi: 10.3969/j.issn.1001-506X.2014.10.20
	ZHANG Z H , ZHAI Y L , LI D W . Performance reliability evaluation based on impact theory[J]. Systems Engineering and Electronics, 2014, 36 (10): 2018- 2112. doi: 10.3969/j.issn.1001-506X.2014.10.20
11	张奡, 王治华, 赵振平, 等. 两阶段非线性Wiener过程退化建模与可靠性分析[J]. 系统工程与电子技术, 2020, 42 (4): 954- 959.
	ZHANG A , WANG Z H , ZHAO Z P , et al. Two-phase nonlinear wiener process for degradation modeling and reliability analysis[J]. Systems Engineering and Electronics, 2020, 42 (4): 954- 959.
12	ZHAI Q Q , YE Z S . RUL prediction of deteriorating products using an adaptive Wiener process model[J]. IEEE Trans.on Industrial Informatics, 2017, 13 (7): 2911- 2921.
13	PULCINI G . A perturbed Gamma process with statistically dependent measurement errors[J]. Reliability Engineering & System Safety, 2016, 152, 296- 306.
14	THOMAS S , SEBASTIEN M , MITRA F , et al. Non-homogenous gamma process: application to SiC MOSFET threshold voltage instability[J]. Microelectronics Reliability, 2017, 75, 14- 19. doi: 10.1016/j.microrel.2017.06.007
15	GAO Z H , MA C B , LUO Y G , et al. IMA health state evaluation using deep feature learning with quantum neural network[J]. Engineering Applications of Artificial Intelligence, 2018, 76, 119- 129. doi: 10.1016/j.engappai.2018.08.013
16	LU H , ZHOU Q L , FEI Z M , et al. Scheduling based on interruption analysis and PSO for strictly periodic and preemptive partitions in integrated modular avionics[J]. IEEE Access, 2018, 6, 13523- 13540. doi: 10.1109/ACCESS.2018.2811539
17	GAO Z H , MA C B , ZHANG J F , et al. Enhanced online sequential parallel extreme learning machine and its application in remaining useful life prediction of integrated modular avionics[J]. IEEE Access, 2019, 7, 183479- 183488. doi: 10.1109/ACCESS.2019.2960406
18	ARINC653. Avionics application software standard interface part1 required services[S]. USA: Aeronautical Radio Incorporated, 2006.
19	ZHANG G, KWAN C, XU R, et al. An enhanced prognostic model for intermittent failures in digital electronics[C]//Proc.of the IEEE Aerospace Conference, 2007.
20	SORENSEN B A, KELLY G, SAJECKI A, et al. An analyzer for detecting intermittent faults in electronic devices[C]//Proc.of IEEE Systems Readiness Technology Conference, 1994.
21	WAKIL A S , SURESH P , MOHAMMAD S , et al. A novel intermittent fault detection algorithm and health monitoring for electronic interconnections[J]. IEEE Trans.on Components, Pac-kaging and Manufacturing Technology, 2016, 6 (3): 400- 406. doi: 10.1109/TCPMT.2015.2500023
22	ANTOMIO C , EMILIO G , FRANCISCO M , et al. Intermittent failure dynamics characterization[J]. IEEE Trans.on Reliability, 2012, 61 (3): 649- 658. doi: 10.1109/TR.2012.2208300
23	NIEMIRO W . Fixed relative precision estimators of growth rate for compound poisson and Lévy processes[J]. Statistics & Probability Letters, 2019, 153, 151- 156.
24	HAINAUT D . Stochastic control of drill-heads driven by Lévy processes[J]. Automatica, 2019, 103, 36- 45. doi: 10.1016/j.automatica.2019.01.016
25	LIAO P J, CHEN C L, YOUNG J W, et al. A new on-state drain-bias TDDB lifetime model and HCI effect on drain-bias TDDB of ultra thin oxide[C]//Proc.of IEEE International Reliability Physics Symposium, 2008: 210-214.
26	BASAVALINGAPPA A, PASSAGE J M, SHEN M Y, et al. Electromigration: lognormal versus Weibull distribution[C]//Proc.of the IEEE International Integrated Reliability Workshop, 2017.
27	RUAN W L, ZHAI Z J. Kernel-level design to support partitioning and hierarchical real-time scheduling of ARINC 653 for VxWorks[C]//Proc.of the 12th International Conference on Dependable, Autonomic and Secure Computing, 2014: 24-27.
28	ZHAO Y W , SANAN D , ZHANG F Y , et al. Refinement-based specification and security analysis of separation kernels[J]. IEEE Trans.on Dependable and Secure Computing, 2018, 16, 127- 141.
29	SONG P , LIU Y , LIU T X , et al. Controller-proxy: scaling network management for large-scale SDN networks[J]. Computer Communications, 2017, 108, 52- 63. doi: 10.1016/j.comcom.2017.05.002
30	787MPD. 787 maintenance planning document[S]. USA: The Boeing Company, 2008.

参数	种类
参数	正态分布	Weibull分布	对数正态分布	Gamma分布
RMSE	2.636 7	0.986 6	2.895 5	2.773 2

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Performance degradation Lévy model of integrated modular avionics

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