Reliability modeling of mutual DCFP considering failure physical dependency

doi:10.23919/JSEE.2023.000108

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (4): 1063-1073.doi: 10.23919/JSEE.2023.000108

• RELIABILITY • Previous Articles

Reliability modeling of mutual DCFP considering failure physical dependency

Ying CHEN(), Tianyu YANG(), Yanfang WANG()

¹ Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing 100191, China

Received:2021-02-03 Online:2023-08-18 Published:2023-08-28
Contact: Tianyu YANG E-mail:cheny@buaa.edu.cn;yangtianyu@buaa.edu.cn;Wang_YF@buaa.edu.cn
About author:
CHEN Ying was born in 1977. She received her Ph.D. degree in instrument science and technology from Tsinghua University, Beijing, China, in 2006. She was a visiting scholar of University of California, Los Angeles during 2016−2017. She is currently an associate professor with the Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University. Her research interests include failure behavior and reliablity modeling method, and risk science. E-mail: cheny@buaa.edu.cn

YANG Tianyu was born in 1996. She received her bachelor ’s degree from Beihang University in 2018. She is now a master student in the Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing, China. She is specialized in the systems engineering, the reliability of electronic products and the system failure behavior. E-mail: yangtianyu@buaa.edu.cn

WANG Yanfang was born in 1998. She received her B.S. degree from Hebei University of Technology in 2020. She is now pursing her M.S. degree in the Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China. Her primary research interests include the reliability of electronic products and the system failure behavior. E-mail: Wang_YF@buaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61503014; 62073009)

Abstract

Abstract:

Degradation and overstress failures occur in many electronic systems in which the operation load and environmental conditions are complex. The dependency of them called dependent competing failure process (DCFP), has been widely studied. Electronic system may experience mutual effects of degradation and shocks, they are considered to be interdependent. Both the degradation and the shock processes will decrease the limit of system and cause cumulative effect. Finally, the competition of hard and soft failure will cause the system failure. Based on the failure mechanism accumulation theory, this paper constructs the shock-degradation acceleration and the threshold descent model, and a system reliability model established by using these two models. The mutually DCFP effect of electronic system interaction has been decomposed into physical correlation of failure, including acceleration, accumulation and competition. As a case, a reliability of electronic system in aeronautical system has been analyzed with the proposed method. The method proposed is based on failure physical evaluation, and could provide important reference for quantitative evaluation and design improvement of the newly designed system in case of data deficiency.

Key words: electronic system, dependent competing failure process (DCFP), failure physical dependency, threshold descent model, competition failure modes

Ying CHEN, Tianyu YANG, Yanfang WANG. Reliability modeling of mutual DCFP considering failure physical dependency[J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 1063-1073.

Figures/Tables 12

Fig 1

Fig 2

Fig 3

Fig 4

Fig 5

Table 1

Fig 6

Fig 7

Fig 8

Fig 9

Fig 10

Fig 11

References 31

1	WANG Y, PHAM H A Multi-objective optimization of imperfect preventive maintenance policy for dependent competing risk systems with hidden failure. IEEE Trans. on Reliability, 2011, 60 (4): 770- 781. doi: 10.1109/TR.2011.2167779
2	WANG Y, PHAM H A Modeling the dependent competing risks with multiple degradation processes and random shock using time-varying copulas. IEEE Trans. on Reliability, 2012, 61 (1): 13- 22. doi: 10.1109/TR.2011.2170253
3	HAO S H, YANG J Reliability analysis for dependent competing failure processes with changing degradation rate and hard failure threshold levels. Computers & Industrial Engineering, 2018, 118, 340- 351.
4	KONG X F, YANG J Reliability analysis of composite insulators subject to multiple dependent competing failure processes with shock duration and shock damage self-recovery. Reliability Engineering and System Safety, 2020, 204, 107166.
5	GAO H D, CUI L R, QIU Q G Reliability modeling for degradation-shock dependence systems with multiple species of shocks. Reliability Engineering and System Safety, 2019, 185, 133- 143.
6	SHEN J Y, ALAA E, CUI L R Reliability analysis for multi-component systems with degradation interaction and categorized shocks. Applied Mathematical Modelling, 2018, 56, 487- 500. doi: 10.1016/j.apm.2017.12.001
7	FAN M F, ZENG Z G, ZIO E, et al A sequential Bayesian approach for remaining useful life prediction of dependent competing failure processes. IEEE Trans. on Reliability, 2018, 68 (1): 317- 329.
8	TANG J Y, CHEN C S, HANG L Reliability assessment models for dependent competing failure processes considering correlations between random shocks and degradations. Quality and Reliability Engineering International, 2018, 35 (1): 179- 191.
9	YE Z S, TANG L C, XU H Y A distribution-based systems reliability model under extreme shocks and natural degradation. IEEE Trans. on Reliability, 2011, 60 (1): 246- 256. doi: 10.1109/TR.2010.2103710
10	FAN M F, ZENG Z G, ZIO E, et al Modeling dependent competing failure processes with degradation-shock dependence. Reliability Engineering and System Safety, 2017, 165, 422- 430. doi: 10.1016/j.ress.2017.05.004
11	ZHU W J, FOULADIRAD M, BERENGUER C Bicriteria maintenance policies for a system subject to competing wear and δ-shock failures. Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk & Reliability, 2015, 229 (6): 1- 16.
12	RAFIEE K, FENG Q M, COIT D W Reliability analysis and condition-based maintenance for failure processes with degradation-dependent hard failure threshold. Quality and Reliability Engineering International, 2017, 33 (7): 1351- 1366. doi: 10.1002/qre.2109
13	RAFIEE K, FENG Q M, COIT D W Reliability assessment of competing risks with generalized mixed shock models. Reliability Engineering and System Safety, 2017, 159, 1- 11. doi: 10.1016/j.ress.2016.10.006
14	LIU Y, WANG Y S, FAN Z W, et al Reliability modeling and a statistical inference method of accelerated degradation testing with multiple stresses and dependent competing failure processes. Reliability Engineering and System Safety, 2021, 213, 107648. doi: 10.1016/j.ress.2021.107648
15	HUANG Y S, FANG C C, LU C M, et al Optimal warranty policy for consumer electronics with dependent competing failure processes. Reliability Engineering and System Safety, 2022, 222, 108418. doi: 10.1016/j.ress.2022.108418
16	JIANG L, FENG Q M, COIT D W Reliability and maintenance modeling for dependent competing failure processes with shifting failure thresholds. IEEE Trans. on Reliability, 2012, 61 (4): 932- 948. doi: 10.1109/TR.2012.2221016
17	XU B, BAI G H, ZHANG Y A, et al Failure analysis of unmanned autonomous swarm considering cascading effects. Journal of Systems Engineering and Electronics, 2022, 33 (3): 759- 770.
18	LI Q, ZHOU J Y, JIANG Z Q, et al Train wheel degradation modeling and remaining useful life prediction based on mixed effect model considering dependent measurement errors. IEEE Access, 2019, 7, 159058- 159068. doi: 10.1109/ACCESS.2019.2950696
19	CAO Y S, LIU S F, FANG Z J, et al Modeling ageing effects for multi-state systems with multiple components subject to competing and dependent failure processes. Reliability Engineering and System Safety, 2020, 199, 106890. doi: 10.1016/j.ress.2020.106890
20	HAO S H, YANG J, MA X B, et al Reliability modeling for mutually dependent competing failure processes due to degradation and random shocks. Applied Mathematical Modelling, 2017, 51, 232- 249. doi: 10.1016/j.apm.2017.06.014
21	DONG W J, LIU S F, SUK B, et al Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages. Reliability Engineering and System Safety, 2021, 205, 107260. doi: 10.1016/j.ress.2020.107260
22	WU B, DING D A Gamma process based model for systems subject to multiple dependent competing failure processes under Markovian environments. Reliability Engineering and System Safety, 2022, 217, 108112. doi: 10.1016/j.ress.2021.108112
23	CHE H Y, ZENG S K, GUO J B, et al Reliability modeling for dependent competing failure processes with mutually dependent degradation process and shock process. Reliability Engineering and System Safety, 2018, 180, 168- 178. doi: 10.1016/j.ress.2018.07.018
24	ZHAO S, MAKIS V, CHEN S W, et al Health evaluation method for degrading systems subject to dependent competing risks. Journal of Systems Engineering and Electronics, 2018, 29 (2): 436- 444. doi: 10.21629/JSEE.2018.02.23
25	WANG L, LI H Y, MA J Inference for dependence competing risks from bivariate exponential model under generalized progressive hybrid censoring with partially observed failure causes. Journal of Systems Engineering and Electronics, 2019, 30 (1): 201- 208. doi: 10.21629/JSEE.2019.01.19
26	WANG Z Z, CHEN Y X, CAI Z Y, et al Methods for predicting the remaining useful life of equipment in consideration of the random failure threshold. Journal of Systems Engineering and Electronics, 2020, 31 (2): 415- 431. doi: 10.23919/JSEE.2020.000018
27	HUANG T T, PENG B, ZHAO Y P, et al Reliability assessment considering stress drift and shock damage caused by stress transition shocks in a dynamic environment. Journal of Systems Engineering and Electronics, 2019, 30 (5): 1025- 1034. doi: 10.21629/JSEE.2019.05.18
28	CHEN Y, YANG L, YE C, et al Failure mechanism dependence and reliability evaluation of non-repairable system. Reliability Engineering and System Safety, 2015, 138, 273- 283. doi: 10.1016/j.ress.2015.02.002
29	CHEN Y, MA Q C, WANG Z, et al Reliability analysis of k-out-of-n system with load-sharing and failure propagation effect . Journal of Systems Engineering and Electronics, 2021, 32 (5): 1221- 1231. doi: 10.23919/JSEE.2021.000104
30	CHEN Y, WANG Y F, YANG S, et al System reliability evaluation method considering physical dependency with FMT and BDD analytical algorithm. Journal of Systems Engineering and Electronics, 2022, 33 (1): 222- 232. doi: 10.23919/JSEE.2022.000022
31	KAWAUCHI H, TANZAWA T. A 2V 3.8W fully-integrated clocked AC-DC charge pump with 0.5V 500Ω vibration energy harvester. Proc. of the IEEE Asia Pacific Conference on Circuits and Systems, 2019. DOI: 10.1109/APCCAS47518.2019.8953130.

Parameter	Description	Reference value	Source
$ {\beta _1} $	Initial degradation rate	$ 3.882 \times {10^{ - 10}} $	Design parameters
$ \eta $	Coefficient of the degradation rate model	$ 5.985 \times {10^{ - 10}} $	Zhang et al. [19]
$ \gamma $	Index coefficient of the degradation rate model	1.447	Zhang et al. [19]
$ \mu $	Coefficient of conversion between shock load and degradation	$ 1.216 \times {10^{ - 7}} $	Zhang et al. [19]
$ {T_i} $	Time interval of each shock arrival	$\mu {{\sim} }P(6)$	Design requirements
${w_i}/{\rm{kV}}$	Load of each shock	${w_i}{ {\sim} }N(3,\;1.2)$	Design requirements
$ {H_0} $	Degradation limit	1	Design parameters
$ \alpha $	Conversion factor of hard failure threshold	−6.35	Kawauchi et al. [31]
${D_0}/{\rm{kV} }$	Initial threshold of the hard failure	$3.2$	Design parameters

Reliability modeling of mutual DCFP considering failure physical dependency

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 12

References 31

Related Articles 1

Recommended Articles

Metrics

Comments