多种退化机理作用下的产品可靠性建模

doi:10.12305/j.issn.1001-506X.2021.06.32

Abstract

Abstract:

For the problem that the products performance is gradually degraded due to different factors, firstly, the degradation mechanism of product failure caused by the performance degradation is analyzed. The products performance indicator are degenerated by both the digression factors that are continuance influencing factors and discreteness influencing factors. Secondly, the degradation model of products performance indicator under the action of multiple degradation mechanism is set up based on the diffusion process and accumulative failure theory. The estimation methods of the model's parameters and the reliability assessment of the performance degradation products are performed. Finally, the data of drift voltage departing from zero of acoustic echosounder and measurement data of vibration amplitude of hydraulic coupler are studied, which demonstrates that this method is feasible and effective.

Key words: performance degradation, reliability evaluation, diffusion process, nonhomogeneous Poisson process

CLC Number:

TB114.3

Yali ZHAI, Zhihua ZHANG, Songshi SHAO. Reliability modeling of products based on multiple degradation mechanism[J]. Systems Engineering and Electronics, 2021, 43(6): 1714-1720.

Figures/Tables 6

Table 1

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References 30

1	LIU L F , JI Z L , LUAN X . Performance degrada-tion model and prediction method of real-time remaining life for high temperature ceramic filter tube[J]. The Chinese Journal of Process Engineering, 2019, 19 (1): 162- 172.
2	SUN Y S, WANG L Z, WANG X B, et al. Reliability assessment method based on performance degradation data from multi-axial direction of motor[C]//Proc. of the 29th European safety and Reliability Conference(ESREL), 2019.
3	VERBERT K , SCHUTTER B D , BABUSKA R . Timely condition-based maintenance planning for multi-component systems[J]. Reliability Engineering and System Safety, 2017, 159, 310- 321. doi: 10.1016/j.ress.2016.10.032
4	YOUSUF A , HAKIM N . Investigation on chirping induced perfor-mance degradation in single mode directly modulated 1.55um DFB laser[J]. Journal of Optical Communications, 2019, 40 (1): 31- 36. doi: 10.1515/joc-2017-0015
5	WANG Z B , LI W Y , SHANG S , et al. Performance degradation comparisons and failure mechanism of silver metal oxide contact materials in relays application by simulation[J]. Eksploatacja I Niezawodnosc-Maintenance and Reliability, 2019, 22 (1): 86- 93. doi: 10.17531/ein.2020.1.10
6	PAN Y B , HONG R J , CHEN J , et al. Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion[J]. Mechanism and Machine Theory, 2019, 137, 509- 526. doi: 10.1016/j.mechmachtheory.2019.03.036
7	LI H R , SUN J , MA H , et al. A novel method based upon modified composite spectrum and relative entropy for degradation feature extraction of hydraulic pump[J]. Mechanical Systems & Signal Processing, 2019, 114 (1): 399- 412.
8	GUO R X , SUI J F . Remaining useful life prognostics for the electrohydraulic servo actuator using hellinger distance based particle filter[J]. IEEE Trans.on Instrumentation and Measurement, 2020, 69 (4): 1148- 1158. doi: 10.1109/TIM.2019.2910919
9	QI J J, WANG D F, WANG L Q, et al. Performance reliability assessment method of a pump based on multi-performance parameters[C]//Proc. of the Prognostics and System Health Management Conference, 2019.
10	LI H R , SUN J , MA H , et al. A novel method based upon modified composite spectrum and relative entropy for degradation feature extraction of hydraulic pump[J]. Mechanical System & Signal Processing, 2019, 114 (1): 399- 412.
11	HYUNSEOK O , SEUNGHYUK C , KEUNSU K , et al. An empirical model to describe performance degradation for warranty abuse detection in portable electronics[J]. Reliability Engineering and System Safety, 2015, 142, 92- 99. doi: 10.1016/j.ress.2015.04.019
12	HUANG T T, WANG L, JIANG T M. Prognostics of products using time series analysis based on degradation data[C]//Proc. of the Prognostics & System Health Management Confe-rence, 2010.
13	LI Y Q , CHEN X R , LIU Y W , et al. Analytical modeling framework for performance degradation of PEM fuel cells du-ring startup-shutdown cycles[J]. RSC Advance, 2020, 10 (4): 2216- 2226. doi: 10.1039/C9RA09572A
14	WANG X , SUN Q . Consistency check of degradation mechanism between natural storage and enhancement test for missile servo system[J]. Journal of Systems Engineering and Electro-nics, 2019, 30 (2): 415- 424. doi: 10.21629/JSEE.2019.02.19
15	MA J M, ZHAN X Y, ZENG SH K. Real time reliability analysis based on the performance degradation data and Bayesian method[C]//Proc. of the International conference on Reliability, Maintainability & Safety, 2011: 90-94.
16	NOORTWIJK J M V . A survey of the application of Gamma processes in maintenance[J]. Reliability Engineering and System Safety, 2009, 94 (1): 2- 21. doi: 10.1016/j.ress.2007.03.019
17	WANG H , ZHOU Y W , JI Y , et al. Performance degradation assessment of rolling bearing based on Dirichlet process and continuous Markov model[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49 (1): 117- 123.
18	DELIA M C , RAFAEL P O . A shock and wear system under environmental conditions subject to internal failures, repair, and replacement[J]. Reliability Engineering and System Safety, 2012, 99, 55- 61. doi: 10.1016/j.ress.2011.10.009
19	LI D W , ZHANG Z H , ZHONG Q H , et al. Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time[J]. Chinese Journal of Aeronautics, 2014, 27 (4): 821- 828. doi: 10.1016/j.cja.2014.06.002
20	翟亚利, 张志华, 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): 2108- 2112. doi: 10.3969/j.issn.1001-506X.2014.10.35
	ZHAI Y L , ZHANG Z H , LI D W . Performance reliability evaluation based on impact theory[J]. Systems Engineering and Electronics, 2014, 36 (10): 2108- 2112. doi: 10.3969/j.issn.1001-506X.2014.10.35
21	HU Y , LI H , SHI P , et al. A prediction method for the real-time remaining useful life of wind turbine bearings based on the Wiener process[J]. Renewable Energy, 2018, 127 (11): 452- 460.
22	翟亚利, 张志华, 李大伟. 具有漂移特征的退化可靠性评估方法研究[J]. 系统工程理论与实践, 2014, 34 (10): 2710- 2715. doi: 10.12011/1000-6788(2014)10-2710
	ZHAI Y L , ZHANG Z H , LI D W . The method about reliabi-lity evaluation based on degradation data with parameters digression feature[J]. Systems Engineering-Theory & Practice, 2014, 34 (10): 2710- 2715. doi: 10.12011/1000-6788(2014)10-2710
23	WANG R R , FENG H L . Lithiumion batteries remaining useful life prediction using Wiener process and unscented particle filter[J]. Journal of Power Electronics, 2020, 20 (1): 270- 278. doi: 10.1007/s43236-019-00016-3
24	刘强. 基于失效物理的性能可靠性技术及应用研究[D]. 长沙: 国防科学技术大学, 2011.
	LIU Q. Research on the performance reliability technology and the application based on physics of failure[D]. Changsha: National University of Defense Technology, 2011.
25	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[J]. Reliability Engineering & System Safety, 2018, 180 (12): 168- 178.
26	GAO H D , CUI L R , QIU Q G . Reliability modeling for degradation-shock dependence systems with multiple species of shocks[J]. Reliability Engineering & System Safety, 2019, 185 (5): 133- 143.
27	樊平毅. 随机过程理论与应用[M]. 北京: 清华大学出版社, 2006.
	FAN P Y . Stochastic processes theory and application[M]. Beijing: Tsinghua University Press, 2006.
28	张志华. 可靠性理论及工程应用[M]. 科学出版社, 2012: 298- 299.
	ZHANG Z H . Reliability theory and engineering application[M]. Beijing: Science press, 2012: 298- 299.
29	杜文久, 孙胜亮, 原坤. 改进的MCMC算法——DSY算法及其在估计IRT模型参数中的应用[J]. 心理科学, 2013, 36 (3): 734- 738.
	DU W J , SUN S L , YUAN K . Improvement of MCMC algorithm-DSY algorithm and its application in parameter estimation under the TRT model[J]. Journal of Psychological Science, 2013, 36 (3): 734- 738.
30	谭林, 程志君, 郭波. 基于风险的劣化系统最优检测策略[J]. 系统工程理论与实践, 2009, 29 (9): 108- 114.
	TAN L , CHENG Z J , GUO B . Optimal inspection policy for deteriorating system based on risk[J]. Systems Engineering-Theory & Practice, 2009, 29 (9): 108- 114.

时间/周	3	6	9	12	15	18
零位电压/mV	3.16	5.47	8.37	10.89	13.2	15.4

时间/周	21	24	27	30	33	36
零位电压/mV	19.7	20.5	23.9	26.1	27.7	31.5

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Reliability modeling of products based on multiple degradation mechanism

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